19 of 19 Machine Learning Jobs in Fife

partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex … analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets More ❯

in the office. *****Paying up to £30,000 basic***** IMPORTANT PLEASE READ - Aiming for candidates to have a START DATE between July & August Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Passion & Enthusiasm , Mathematics, Data Analysis, Python, Git, SQL, BI Tools. An exciting AI company in … range of machine learning techniques suitable for various data shapes and types. Support the implementation and application of cutting-edge AI/ML techniques across multiple product lines, aiming to contribute effectively to product enhancement. Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets. Assist … Concept (PoC) projects by analysing data outputs and assessing model performance. Create clear, data-driven reports and visualisations to communicate findings from AI/ML models to technical and non-technical audiences. Contribute to automation of data analysis workflows to streamline reporting and validation processes Graduate Machine Learning More ❯

global R&D team developing cutting-edge AI and indoor positioning technologies for smart devices. Focus areas include navigation systems, geospatial data, SLAM, and machine learning, with close ties to academic and industry partners. They are looking to hire consultants specializing in AI and Indoor Positioning at our … navigation technologies Collaborate with academic and industry experts in Edinburgh and across the UK Key Requirements: Expertise in sensor fusion, signal processing, SLAM, and machine learning Hands-on research/engineering experience in at least one relevant domain Proficiency with Python, PyTorch, and Pandas Quick adaptability to emerging … technologies and academic literature PhD in positioning systems, robotics, or machine learning (or equivalent experience) Track record in commercial R&D or relevant academic publications Experience with open-source projects in navigation, autonomous systems, or geospatial data Exposure to computer vision and augmented reality development By applying to More ❯

global R&D team developing cutting-edge AI and indoor positioning technologies for smart devices. Focus areas include navigation systems, geospatial data, SLAM, and machine learning, with close ties to academic and industry partners. They are looking to hire consultants specializing in AI and Indoor Positioning at our … navigation technologies Collaborate with academic and industry experts in Edinburgh and across the UK Key Requirements: Expertise in sensor fusion, signal processing, SLAM, and machine learning Hands-on research/engineering experience in at least one relevant domain Proficiency with Python, PyTorch, and Pandas Quick adaptability to emerging … technologies and academic literature PhD in positioning systems, robotics, or machine learning (or equivalent experience) Track record in commercial R&D or relevant academic publications Experience with open-source projects in navigation, autonomous systems, or geospatial data Exposure to computer vision and augmented reality development By applying to More ❯

developer tools. Be part of internal engineering efforts, with responsibility of algorithms, modelling, engineering and product scaling and support. Requirements: PhD in NLP, deep learning, knowledge engineering, information retrieval, or related fields. At least 3 years of work experience in at least one of the following fields is REQUIRED … Knowledge engineering technologies (RDF, SPARQL, OWL, SKOS)/Natural Language Processing (LLM, agent, entity detection, question answering, etc.)/Machine Learning & Deep Learning (LSTM, transformer, etc.) . At least 2 (3-5 would be desirable) papers published on top conference/journal in the related fields like … and coding skills. Strong problem-solving, and excellent verbal and written communication skills. Desirable Experience: Experience of LLM based agent. Knowledge of various reinforcement learning (POMDP, Imitation Learning, etc.) and deep learning (word embedding, LSTM, GAN, Pretrained models etc) algorithms for NLP. Knowledge of building large-scale More ❯

academic partners and research institutions across the UK Translate cutting-edge research into commercial-grade solutions for localisation technologies Key Requirements: PhD in robotics, machine learning, geospatial data science, or a … related field Strong background in sensors fusion, SLAM, or signal processing Proficiency in Python, PyTorch, and modern data science tools (e.g., Pandas) Experience in ML-based activity recognition or trajectory prediction Commercial R&D experience or a strong record of research publications Exposure to computer vision, augmented reality, or autonomous … navigation is a plus Keywords: SLAM/Indoor Positioning/GNSS Alternatives/Geospatial Data/Trajectory Optimisation/Activity Recognition/Machine Learning/Python/PyTorch/Data Science/Signal Processing/AR/Robotics/Navigation Systems/Research Engineering If you are interested More ❯

academic partners and research institutions across the UK Translate cutting-edge research into commercial-grade solutions for localisation technologies Key Requirements: PhD in robotics, machine learning, geospatial data science, or a … related field Strong background in sensors fusion, SLAM, or signal processing Proficiency in Python, PyTorch, and modern data science tools (e.g., Pandas) Experience in ML-based activity recognition or trajectory prediction Commercial R&D experience or a strong record of research publications Exposure to computer vision, augmented reality, or autonomous … navigation is a plus Keywords: SLAM/Indoor Positioning/GNSS Alternatives/Geospatial Data/Trajectory Optimisation/Activity Recognition/Machine Learning/Python/PyTorch/Data Science/Signal Processing/AR/Robotics/Navigation Systems/Research Engineering If you are interested More ❯

Work with cutting-edge solutions in an intriguing industry. Active involvement in code reviews, mentoring, and team building. Exposure to Machine Learning (ML) and Cloud technologies. The company is headquartered in Edinburgh, and while there will be flexibility, the ability to work from the central Edinburgh office will More ❯

engineering, data pipelines, and semantic models. Hands-on experience building data platforms on Microsoft Azure (Data Factory, Synapse, Databricks, Purview). Skilled in deploying machine learning models and generative AI applications in production. Strong programming skills in Python, SQL, YAML. Experience with CI/CD and infrastructure-as More ❯

Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience We’re committed to providing our people with a great environment to work in. You can expect ongoing … you choose from over 5000 tech products at up to a 12% discount Free unlimited Udemy account for every employee to support their continuous learning and improvement Support in obtaining relevant certifications More ❯

environments. Languages: English : Fluent (required) Mandarin Chinese : Fluent or professional proficiency (preferred, but not mandatory) Other Skills: Experience in privacy, cybersecurity, or AI/machine learning technologies is a plus. More ❯

effectively in multicultural environments. Languages: Mandarin Chinese : Fluent or professional proficiency (preferred, but not mandatory) Other Skills: Experience in privacy, cybersecurity, or AI/machine learning technologies is a plus. Please note that if you are NOT a passport holder of the country for the vacancy you might More ❯

AI development tools, QA systems, and assistant use-cases Contribute to core algorithm development and support product scaling initiatives Key Requirements: PhD in NLP, Machine Learning, Knowledge Engineering, or related fields 3+ years of experience in at least one of: Knowledge technologies (RDF, SPARQL, OWL, SKOS); NLP (LLMs … entity detection, question answering, agent systems); Deep learning (transformers, LSTM, etc.) 2+ publications in top-tier conferences (e.g., ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI) Strong coding and software design skills Experience working across research and applied development in a collaborative environment Keywords: Knowledge Graphs/LLMs/Semantic Search …/Knowledge Reasoning/NLP/Agent Systems/RAG/OWL/SPARQL/Transformers/Deep Learning/AI Assistants/QA Systems/Pytorch/TensorFlow/Graph Reasoning/Multi-Modal AI/Knowledge Engineering/Research to Production If you are interested in this More ❯

single-nuclei transcriptomics data. Experience with 10x Genomics Xenium or VisiumHD spatial transcriptomics data. Experience in pipeline construction and implementation with Nextflow. Interest in machine learning applications in bioinformatics. #J-18808-Ljbffr More ❯

tests Real-world applications of these techniques Proficiency in Python libraries such as NumPy, SciPy, Pandas, scikit-learn, and others related to data and machine learning Working knowledge of SQL, data structures, and databases (Snowflake is desirable) This organization is pragmatic and humble, seeking like-minded individuals to More ❯

not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. Providing DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission More ❯

pipelines, or document-based AI systems is a bonus Nice to Have: Exposure to legal tech, compliance tools, or privacy-centric workflows Familiarity with ML frameworks (e.g. PyTorch, Scikit-learn)—helpful but not required What We Offer: A high-trust, high-impact environment with ownership over mission-critical AI systems More ❯

week in office) Rethinking Your Next Move in Engineering or AI? What if you could take your deep knowledge of cloud platforms, AI/ML systems or DevOps—and use it to guide one of the UK’s largest banks through safer, smarter digital transformation? This is a high-impact … About the Opportunity: As Portfolio Lead – Platforms & Engineering , you’ll oversee a significant slice of the technology audit plan. Think: cloud migrations, AI/ML deployments, DevSecOps pipelines and modern software engineering practices But this isn’t about ticking audit boxes—it’s about ensuring robust, forward-looking controls are … emerging tech or AI governance is in scope Champion automation, data-driven testing and innovative assurance practices across your team Use your AI/ML or cloud expertise to offer credible challenge, surface blind spots, and shape how risk is managed during transformation Coach and grow talent—sharing technical insight More ❯

delivering projects expertly for clients Team leadership Support client relations Technical Skills & Project Delivery: Ability to write production level code in Python Experience Implementing ML systems Experience implementing/building Gen AI solutions highly advantageous Strong communication skills particularly for non-technical stakeholders Awareness of how ML & AI models are … deployed ML projects often require supervised, unsupervised & reinforcement learning Support AI Engineering team design & implement LLMs through identifying model flows, design prompts & fine-tuning models AI projects across include chatbot configuring, generating content & next best action Team Leadership: Identify opportunities & supporting team member development Support internal graduate scheme Provide More ❯