1 to 25 of 94 Machine Learning Jobs in County Antrim

learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities … Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics More ❯

to deliver targeted insurance solutions to our customers. We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and … diverse customer needs. This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions … searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will More ❯

play a crucial role in maturing and scaling our machine learning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You … will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay … management of machine learning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and More ❯

and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . #J-18808-Ljbffr More ❯

assets through SAAS and cloud-based services. We are expanding our team to improve our existing products and develop new modules. About the role: ML-driven features in our core wastewater network platform focusing on predicting sewer behaviour. You will work within the Data & Modelling team with a focus on … improving our existing ML processes, aiming to understand behaviour in the water network and designing and integrating new data-driven strategies into existing products to help add insight for our customers. The role will involve: Exploratory data analysis and visualisation Conceptualising solutions and presenting to internal stakeholders and external customers … prevent real-time events, reducing harm to the environment. This is a pragmatic and delivery-focused role in the use of data, analytics, and ML to deliver predictive outcomes for StormHarvester customers as part of our product. This will involve working with customer data, understanding and appreciating the underlying domain More ❯

our team. As a Junior Data Scientist/Data Scientist, you will play a crucial role in developing and implementing cutting-edge AI and machine learning models to extract valuable insights from large datasets. You will collaborate with cross-functional teams to drive data-driven decision-making and … data scientists to ensure data quality and optimize data pipelines for Predictive analytics and Gen AI applications. Modeling and Evaluation: Utilize advanced statistical and machine learning techniques, including Gen AI technologies, to analyze and interpret complex datasets. Evaluate model performance and iterate on models to improve accuracy and … Gen AI models, into applications and systems. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and understandable manner. Continuous Learning: Stay abreast of the latest advancements in data science, machine learning, AI and financial technologies to bring innovative solutions to the organization. More ❯

Senior Machine Learning Engineer - Tech for Good This company is making waves in it's industry. Born from a mission to drive real change, this company has already formed prestigious partnerships, and they're only getting started. This is an exciting opportunity to join a small, collaborative team … As the Senior Machine Learning Engineer, you'll be responsible for scoping, designing, and developing machine learning systems, implementing suitable ML algorithms, and staying current with emerging trends and technologies in the field. You'll ideally have the following skills and experience: Expertise in prompt engineering … and fine-tuning large language models Experience with retrieval-augmented generation Strong background in dataset creation, model training, and development; broader ML knowledge (e.g. network design and optimisation) is a bonus Strong python skills Experience with Docker and CI/CD pipelines Experience developing RESTful APIs Familiarity with automated testing More ❯

Senior Machine Learning Engineer - Tech for Good This company is making waves in it's industry. Born from a mission to drive real change, this company has already formed prestigious partnerships, and they're only getting started. This is an exciting opportunity to join a small, collaborative team … As the Senior Machine Learning Engineer, you'll be responsible for scoping, designing, and developing machine learning systems, implementing suitable ML algorithms, and staying current with emerging trends and technologies in the field. You'll ideally have the following skills and experience: Expertise in prompt engineering … and fine-tuning large language models Experience with retrieval-augmented generation Strong background in dataset creation, model training, and development; broader ML knowledge (e.g. network design and optimisation) is a bonus Strong python skills Experience with Docker and CI/CD pipelines Experience developing RESTful APIs Familiarity with automated testing More ❯

this year. This Lead Machine Learning Engineer is a newly created role within the business, and will allow a talented and passionate ML Engineer to drive the adoption of AI and ML into their core product. You'll take the lead on designing, building, and deploying ML models … senior leadership team and wider engineering and product functions to solve real-world problems. What you'll need: Strong experience with Python and modern ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Proven track record of deploying ML solutions on AWS Ability to lead projects, mentor engineers, and drive best practices … in ML engineering If you're excited about leading from the front and making a real impact with machine learning, we'd love to hear from you. Salary Circa £85,000 - £95,000 with package which includes equity and private medical. To speak in absolute confidence about this More ❯

this year. This Lead Machine Learning Engineer is a newly created role within the business, and will allow a talented and passionate ML Engineer to drive the adoption of AI and ML into their core product. You'll take the lead on designing, building, and deploying ML models … senior leadership team and wider engineering and product functions to solve real-world problems. What you'll need: Strong experience with Python and modern ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Proven track record of deploying ML solutions on AWS Ability to lead projects, mentor engineers, and drive best practices … in ML engineering If you're excited about leading from the front and making a real impact with machine learning, we'd love to hear from you. Salary Circa £85,000 - £95,000 with package which includes equity and private medical. To speak in absolute confidence about this More ❯

to double their headcount by the end of this year. This is a newly created role within the business, allowing a talented and passionate ML Engineer to drive the adoption of AI and ML into their core product. You will take the lead on designing, building, and deploying ML models … senior leadership team and wider engineering and product functions to solve real-world problems. What you'll need: Strong experience with Python and modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Proven track record of deploying ML solutions on AWS Ability to lead projects, mentor engineers, and drive best practices … in ML engineering If you're excited about leading from the front and making a real impact with machine learning, we'd love to hear from you. Circa £85,000 - £95,000 with package which includes equity and private medical. To speak in absolute confidence about this opportunity More ❯

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 ❯

sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for machine learning models. Design and … implement automated algorithms and advanced machine learning tools. Collaborate with a cross-functional team to solve complex problems and drive innovation. Skills & Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise 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 ❯

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 ❯

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 ❯

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 ❯