26 to 50 of 238 Machine Learning Jobs in Northern Ireland

Senior Machine Learning Engineer Permanent Salary: £90,000 to £110,000 plus great benefits Location: Belfast - Couple of times a week onsite iO Associates have partnered with a Start-Up based out of Belfast who are looking to grow a whole new development team. They are creating a … user to become more self-aware and learn new habits. Your role as Lead Developer will see you leading the development and deployment of ML models and systems, contribute to engineering best practices, and help to oversee the team. This is an exciting opportunity to lead on the development of … looking for you to have experience in the following: Experience in a similar role, with a proven record of success in developing and deploying machine learning models. Strong skills in Python and Pandas, with experience in converting and optimising CPU-based models and algorithms to run efficiently on More ❯

gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot … or similar - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data More ❯

Social network you want to login/join with: Data Science & Machine Learning – Elite Talent Wanted, belfast col-narrow-left Client: Location: belfast, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description … Data Science & Machine Learning – Elite Talent Wanted Top End Salary (D.O.E) We're hiring on behalf of a prestigious client seeking exceptional AI and Data Science professionals . If you hold a top-tier degree from a world-class university and thrive on solving complex problems with cutting … , or data science Background in mathematics, statistics, computer science , or a related field Proficiency in Python, R, or similar languages and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus Analytical mindset with a passion for innovation and problem-solving Willingness to relocate to Glasgow What More ❯

sector to hire a Machine Learning Engineer with a strong background in data analytics. This role offers the chance to apply advanced ML techniques to real-world challenges within the utilities sector, delivering meaningful outcomes through predictive analytics. The successful candidate will join a growing data and modelling … develop predictive models Carry out exploratory data analysis and visualisation to uncover insights Collaborate with domain specialists to guide modelling strategies Lead integration of ML models into the main product, focusing on long-term maintainability Engage with customers to understand needs and present findings Contribute to continuous deployment and delivery … features Support team-wide development through code sharing and feedback What you’ll bring: Over 3 years of practical experience in data analytics and machine learning Strong Python skills, with experience using libraries like Pandas and Scikit-learn (or similar) Familiarity with data exploration tools and visualisation methods More ❯

media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast … paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train … adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team More ❯

months: Own and evolve pipelines built in Python and R (and Kedro and SageMaker) to analyse immune profiles Contribute to modelling projects that use ML to identify immune signatures of disease or treatment outcomes Support internal tooling that connects lab outputs, data cleaning, and model-ready datasets Collaborate with scientists … domain: e.g., model validation, ontologies, scientific interfaces You Might Be a Fit If You: Have 2–5 years experience in applied data science or ML engineering, ideally in life sciences or health data Write clean, reproducible Python and it would great if you understand workflow tools like Kedro, Dagster, or … other orchestration platforms Have built and evaluated ML models for real-world use cases (especially classification or regression with limited samples) Are excited by biological complexity: You don’t need to be an immunologist, but you need to respect the nuance Think in systems: You naturally refactor, generalise, and leave More ❯

insights generated are used to: reduce pollution and sewer flooding events improve operational efficiency Over the last 5 years, StormHarvester has built a unique machine learning platform and process which is at the heart of everything we do. Once we secure a commercial contract, the next step is … to onboard the client’s sensor network for wastewater network and assets. The machine learning platform, or StormHarvester Toolset, takes data from both the client’s sensor networks and from hyperlocal rainfall forecast systems in order to make accurate predictions which are the key helping clients manage their … to manage this onboarding process and to use the overall StormHarvester AI Toolset data to help the water utility to manage their network assets. Machine learning expertise is not required for this role, but excellent account management skills are a must. Above all we are looking for someone More ❯

criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and … built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication …/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google More ❯

Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges … organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify … and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. More ❯

ambitious product? We're looking for a driven and passionate AI Product Lead to join our team and take charge of the AI and ML components of our product. This is a unique opportunity for someone early in their career to step into a leadership role and help define, design … and deliver cutting-edge AI features that will shape our future. What you'll do Take ownership of the AI/ML aspects of our product - from prototyping models to deploying them in production. Collaborate closely with our product, engineering, and design teams to identify where AI can drive the … recently completed a degree in Computer Science, Software Engineering, Machine Learning, Data Science, AI, or a related field. You've worked with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or similar (through projects, internships, or coursework). You're hungry to learn, experiment, and take real ownership - you More ❯

business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights ??Work collaboratively with data scientists, data engineers and other technical people including pricing teams in … small teams as required by the task. ??Familiarity with version control and other IT delivery tools is required ??Understanding/identifying opportunity to apply machine learning knowledge to solve business problems ??Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used … harness the skills they need to achieve and grow the workforce they want. Our culture: At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and More ❯

automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear … actionable insights that power better outcomes. Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to … Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into More ❯

clients unlock over 30% in time and cost savings. What You’ll Do Collaborate with senior data scientists and engineers to build and deploy machine learning models Analyse complex datasets to uncover actionable insights Support automation projects across finance and customer experience domains Communicate findings clearly to both … Continuously learn and apply the latest in AI and data science techniques What We’re Looking For A Master’s degree in Data Science, Machine Learning, Statistics, Computer Science, or a related field Strong Python skills and familiarity with libraries like pandas, scikit-learn, and TensorFlow or PyTorch … Solid understanding of statistical analysis and machine learning fundamentals Excellent problem-solving and communication skills A proactive mindset and eagerness to grow in a fast-paced environment Why Join? Work with cutting-edge AI and automation technologies Be part of a mission-driven team making a tangible difference More ❯

domain expertise in "Finance & Accounting" to generate high-quality datasets, curate information, and create structured content to enhance a Large Language Model's (LLM) learning capabilities. The ideal candidate will have a strong background in research, writing, and data curation, along with a deep understanding of AI, NLP, and … machine learning concepts. Job Description As a Research Writer , you will: Conduct in-depth research on various topics to generate factually accurate, high-quality content for LLM training. Write, edit and refine instructional datasets, including dialogues, summaries, explanations, and multi-turn conversations. Ensure linguistic clarity, coherence, and adherence … writing, technical writing, content curation, and/or AI data annotation is required. Strong understanding of Natural Language Processing (NLP), Machine Learning (ML), and Large Language Models (LLMs) is required. Excellent writing, editing, and analytical skills with a focus on accuracy and clarity, in English, are required. The More ❯

We are looking for a skilled Data Scientist to help our client build cutting-edge models in the sports betting industry. This role involves machine learning, software engineering, data science, and mathematics—ideal for someone who thrives on innovation and complex challenges. The role is based in Costa … Rica. What You’ll Be Doing: Develop, structure, and maintain robust datasets for machine learning workflows. Create and deploy high-performance algorithms and predictive models for sports modeling initiatives. Collaborate with data scientists, developers, and domain experts to solve real-world problems and optimize outcomes. What You Bring … Proven experience with machine learning techniques, especially neural networks. Strong Python programming skills (Matlab is a plus). Understanding of data preparation, feature engineering, and transformation. Fluent in English, both written and spoken. Passion for building impactful, scalable tools. Experience in the iGaming industry (B2B/B2C), particularly More ❯

allow the precise control of cell and gene therapies in response to a diverse range of molecules. Key Responsibilities Develop and refine AI/ML methods for RNA-based control system development. Preparation, processing, cleaning, and annotation of datasets tailored for AI development. Manage the curation of these datasets to … on achieving shared goals with a commitment to high-quality outcomes. Skills Proven track record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive … methodical approach to problem-solving. Familiarity with handling and analysing Next-Generation Sequencing (NGS) data. Skilled in using cloud platforms for deploying and managing ML applications. Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms. Qualifications PhD/MSc (or equivalent professional experience More ❯

including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product … test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written … in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high More ❯

including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product … test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written … in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high More ❯

senior engineers and consultants to contribute to proofs of concept, pilots, and production projects Learn and apply best practices in data engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document … Azure Fundamentals, DP-900, AI-900) is a bonus but not required - DESIRABLE Other Requirements Strong foundational knowledge of Python, data structures, and basic ML/AI concepts - ESSENTIAL Awareness of cloud computing fundamentals, preferably Microsoft Azure - ESSENTIAL Strong problem-solving skills and eagerness to learn new technologies - ESSENTIAL Clear … Data Factory, or Azure OpenAI - DESIRABLE Experience with Jupyter Notebooks, version control (e.g., Git), or working with APIs - DESIRABLE Demonstrated interest in AI/ML through coursework, personal projects, or internships - DESIRABLE CORE COMEPTENCIES & SKILLS: Growth mindset – actively seeks opportunities to learn and improve Team collaboration – works well within delivery More ❯

solutions for our clients leveraging Databricks. The Practice Lead will collaborate with internal teams and clients to design, implement, and optimize big data and machine learning workflows, driving value through scalable and efficient data architectures. The ideal candidate has a deep understanding of cloud-based data processing, particularly … Team Management & Development Build, mentor, and manage a team of data engineers and consultants within the Databricks practice. Foster a culture of innovation, continuous learning, and knowledge sharing within the team. Develop training programs and professional development opportunities to ensure team members are skilled in the latest technologies and … management. Develop reusable frameworks, assets, and accelerators to improve delivery efficiency and consistency across projects. Advocate for the adoption of advanced analytics, AI, and machine learning capabilities within Databricks to drive additional business value. Qualifications Key Qualifications Strong experience in data engineering, data architecture, or big data analytics. More ❯

place and ready to scale globally. The team is responsible for production-level AI systems spanning a broad range of approaches-from building custom machine learning models and fine-tuning large language models (LLMs) to leveraging LLMs out of the box. New this year, the team is also … culture of technical excellence, strategic thinking, and data-informed decision-making The skills you'll bring include: 10+ years of experience in data science, machine learning … or AI, with at least 5 years in a leadership role Proven track record of building and leading high-performing, cross-functional AI or ML teams at scale Strong experience driving AI/ML product development from research through to production deployment Deep understanding of the AI/ML lifecycle More ❯

a key role within the Napier Engineering group. You will be responsible for building, maintaining, and executing quality-assured automation scripts using modern AI, Machine Learning, and web-based tools. You will investigate root causes of functional issues, and then adjust and improve test cases based on the … s goals. Your creativity and ideas will be encouraged and supported-your input matters! Key accountabilities: Develop and execute quality-assured automation scripts using machine learning, web, and API-based automation tools Collaborate with developers to build and execute test cases for new or updated product features Participate More ❯

business needs (e.g., chatbots, summarization, content generation, semantic search) Fine-tune and customize pre-trained LLMs for targeted applications Conduct prompt engineering, few-shot learning, and to optimise model performance Build pipelines for scalable model training, inference, and evaluation Integrate LLMs into end-user applications via APIs or custom … product and engineering teams to bring LLM-powered features from concept to production The Person: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field 3+ years of experience in machine learning or NLP, with significant hands-on experience with LLMs Proficiency … OpenAI API, LangChain, or similar Experience fine-tuning large transformer models or implementing retrieval-augmented generation systems Strong Python programming skills and familiarity with ML libraries (e.g., PyTorch, TensorFlow) Knowledge of prompt engineering best practices and prompt optimization Understanding of LLM evaluation methods, including human-in-the-loop and automated More ❯

house. We create everything from hardware PCB designs to device firmware, Linux drivers, IoT application software, server software, server web UIs, mobile apps, and machine learning and data science solutions. We believe that by controlling every aspect of the development process, we can deliver truly unique and exceptional … opportunity to work with a variety of technologies and collaborate with experts in the field of digital signal processing, data acquisition, complex connected devices, machine learning, and data science. You will have the opportunity to work on exciting projects and see your ideas come to life, and you More ❯

business needs (e.g., chatbots, summarization, content generation, semantic search) Fine-tune and customize pre-trained LLMs for targeted applications Conduct prompt engineering, few-shot learning, and to optimise model performance Build pipelines for scalable model training, inference, and evaluation Integrate LLMs into end-user applications via APIs or custom … product and engineering teams to bring LLM-powered features from concept to production The Person: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field 3+ years of experience in machine learning or NLP, with significant hands-on experience with LLMs Proficiency … OpenAI API, LangChain, or similar Experience fine-tuning large transformer models or implementing retrieval-augmented generation systems Strong Python programming skills and familiarity with ML libraries (e.g., PyTorch, TensorFlow) Knowledge of prompt engineering best practices and prompt optimization Understanding of LLM evaluation methods, including human-in-the-loop and automated More ❯