1 to 25 of 304 Machine Learning Jobs in Scotland

expected salary range for this role reflects internal benchmarking and external market insights. PURPOSE OF THE ROLE As a Software Engineer within the Machine Learning Enablement Team at the BBC, you will design and deliver the tools, platforms, and capabilities that empower data scientists and engineering teams across … orchestration technologies. • Familiarity with machine learning concepts, statistical techniques, or machine learning frameworks, and experience collaborating with data scientists or ML engineers. ...

seeking a talented Data Scientist to join our Research and Development department, based in Dunfermline. In this role, you will develop, optimise and evaluate machine learning models and computer vision algorithms for retinal imaging, ensuring they are successfully integrated into our products. Collaborating with cross-functional teams … verification and ongoing performance assessment, driving continuous improvements to product quality, accuracy and user value. ESSENTIAL DUTIES AND RESPONSIBILITIES Develop, evaluate and deliver robust machine learning models and analytical methods for retinal imaging applications, ensuring all solutions are thoroughly documented and suitable for product development and clinical research ...

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 ...

organization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI, machine learning, optimization, and statistics to deliver measurable business impact. Our mission is simple but ambitious: combine human and machine intelligence to revolutionize … including supporting their career growth and development. Strong familiarity with Python programming, and hands-on experience guiding solutions architecture for production-grade AI/ML systems. Strong theoretical background in and practical experience using AI, machine learning, optimization, or statistical techniques. Experience assessing performance of machine learning ...

trusted delegate who can confidently represent the CTO's priorities and drive alignment at every level of the organisation. The work spans machine learning, software-defined robotics and modern agile delivery. While you won't be hands-on with model development or control software, you'll need … end. Experience in high‐growth or scale‐up environments, particularly within deep‐tech or complex engineering organisations. Familiarity with modern engineering and ML tooling and workflows, such as CI/CD pipelines, Jira or ClickUp, MLflow or Weights & Biases, and simulation or testing environments. Experience working in regulated, safety‐critical ...

fair and explainable systems which automate recruitment processes across Amazon? Come and be part of a team that develops new machine learning (ML) technologies, which help Amazon scale for its customers by recruiting diverse teams. Join our Recommendations team within Intelligent Talent Acquisition (ITA) where you’ll build … ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems. Collaborate with engineers, scientists, and product managers to define requirements, create solutions, and deliver products that improve the hiring experience. Participate in the full ...

Data Science ManagerAre you an experienced Data Science leader with a passion for building and scaling AI/ML products? Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic … with Engineering teams to productionize AI solutions and drive operational excellence. Build, mentor, and lead high-performing teams of Data Scientists and AI/ML practitioners. Set clear goals, drive accountability, and support career growth and development. Lead performance management, coaching, feedback, and talent development activities. Foster a culture ...

seeking candidates with the following knowledge & experience: An extensive background in Data Engineering with recent & relevant experience working in a similar AI Engineer/ML Engineering role Proven experience delivering AI and machine learning solutions in enterprise/large Public Sector environments First class communication skills with … technical stakeholders, clearly translating business challenges into practical AI solutions, ensuring they're fully understood Strong Python skills and hands‐on experience with ML frameworks and libraries. Experience with Generative AI, LLMs, RAG, and prompt engineering . Strong understanding of MLOps, model deployment, CI/CD, and monitoring. Experience with ...

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 ...

improve the diagnosis and treatment of hypertension. Working alongside leading researchers, clinicians and software engineers across Europe, you'll help translate cutting-edge machine learning research into secure, clinically applicable solutions with the potential to improve patient outcomes. As Senior Research Software Engineer, you will play a leading … role in delivering the software and machine learning components of the HT-Advance project, helping to develop next-generation AI tools for hypertension diagnosis and treatment. Working closely with researchers, software developers and clinical partners across six European countries, you will develop and enhance machine learning ...

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 ...

shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear … collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. ...

expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … years of software engineering experience, including significant experience designing, building, and operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong ...

Description: Your ImpactAre you a software engineer with a working knowledge of Artificial Intelligence (AI) and Machine Learning (ML)? Are you interested in developing software for some of the most cutting-edge defence and aerospace projects in the UK? If the prospect of developing software for projects such … will contribute to the delivery of leading-edge solutions for challenging civilian and military projects. Leonardo has a significant interest in exploiting AI/ML technologies. In this role, you will support our systems engineers on research projects while developing deployable software solutions that leverage AI/ML capabilities. What ...

Description Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from … python and contribute to codebases Data Manipulation - Experience querying large datasets (SQL/Pyspark) Machine learning/AI expertise - Advanced knowledge of ML/AI algorithms and their applications Financial domain knowledge - Understanding of banking products, risk frameworks, and regulations Data visualization - Ability to create compelling visual representations ...

real-life problems with data and modern technologies Ability to work collaboratively and communicate effectively Sound knowledge and experience developing and deploying statistical and machine learning models, supervised and unsupervised Python expertise SQL Big Data, including Spark BI tools such as Tableau or Power BI Modern software development … Microsoft Azure (desirable) Core Competencies Demonstrates expertise in developing and deploying data science solutions, with a strong focus on statistical and machine learning models. Proficient in data wrangling, compliance with best practices, and effective communication with stakeholders. Highest-signal resume keywords Python Expertise SQL Big Data Including Spark ...

evolve the plan honestly when priorities or evidence change, rather than defending a roadmap past its usefulness. Act as a thought leader in AI, machine learning, agentic systems and analytics trends, embedding this into product direction and helping the business understand where autonomous AI creates step-change value … single team. Write clear specs, define acceptance criteria, and stay close through delivery. Partner with data science and engineering to spot where AI and machine learning genuinely improve the product, then design those capabilities so the output is explainable and trusted. Translate data collection and processing into visualisation ...

engineer eager to grow. Join the ranks of top talent at one of the world's most influential companies. As an Applied AI ML Engineer – Associate at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design, develop … AIML team, reporting to the AIML Team Lead. Job responsibilitiesExecutes standard software solutions, design, development, and technical troubleshooting for the team's AI/ML productsBuilds and tests features of agentic AI, LLM-powered and ML applications under the direction of senior engineersWrites secure, high-quality production code and maintains ...

engineer eager to grow. Join the ranks of top talent at one of the world's most influential companies. As an Applied AI ML Engineer – Associate at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design, develop … team, reporting to the AIML Team Lead. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting for the team's AI/ML products Builds and tests features of agentic AI, LLM-powered and ML applications under the direction of senior engineers Writes secure, high-quality production code ...

responsible to the Head of AI, IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. Job responsibilities Owns … delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international markets Sets the engineering quality ...

responsible to the Head of AI, IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. Job responsibilitiesOwns end-to-end delivery … priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impactLeads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international marketsSets the engineering quality bar for the team ...

expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … years of software engineering experience, including significant experience designing, building, and operating complex production systems. 4+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong ...

this role, you can expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, andoperateproductionAI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … 12+ years of software engineering experience, including significantexperiencedesigning, building, and operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strongproficiencyin Python anda track recordof developing maintainable, well-tested production software. Strong SQL skills and experience working with ...

skills Formal training or certification on artificial intelligence and machine learning concepts and applied experience Advanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face) Hands-on experience evaluating, fine-tuning, and deploying Large Language Models Strong grounding in experimental design, evaluation … benchmarking of ML systems Ability to bridge research and engineering: prototypes that become production-ready capabilities Awareness of inference cost, performance, and optimisation techniques Strong communication skills, including translating research into business and engineering terms Published in a top-tier AIML venue (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR ...

remote‐sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Responsibilities Design, train and evaluate ML models – from gradient‐boosted methods to CNNs, U‐Nets and vision transformers – for commodity and plantation mapping, land‐cover classification, change and disturbance detection, and biomass … plots, and contribute to a strong research culture across Science, AI and Engineering – reviewed code, shared tooling, and active engagement with EO/ML literature. Who you are: Must‐have requirements Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years ...