1 to 25 of 237 Machine Learning Jobs in Northern Ireland

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 ❯

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 ❯

Social network you want to login/join with: Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to … work on some of the most complex and exciting problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. … Deep expertise in machine learning algorithm development is essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid 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 ❯

Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will … Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem -Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform -Adopt a data … driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms -Promote and drive ML best practices and cultivate an environment of experimentation and learning -Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them More ❯

complex defence use cases-ranging from autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with … software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background in machine … in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity 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 ❯

Social network you want to login/join with: Senior Machine Learning Engineer, newtownabbey col-narrow-left Client: Location: newtownabbey, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 10.06.2025 Expiry Date: 25.07.2025 col-wide Job Description: Senior Machine … 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 Experience with Docker and CI/CD pipelines Familiarity with automated testing frameworks such as pytest. Experience with cloud More ❯

Social network you want to login/join with: Senior Machine Learning Engineer, lisburn col-narrow-left Client: Location: lisburn, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 10.06.2025 Expiry Date: 25.07.2025 col-wide Job Description: Senior Machine … 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 Experience with Docker and CI/CD pipelines Familiarity with automated testing frameworks such as pytest. Experience with cloud 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 ❯

role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject matter experts to design, train, validate, and deploy ML solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing … closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background … in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity More ❯

machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven … 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 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 ❯

Social network you want to login/join with: Senior Machine Learning Engineer, belfast col-narrow-left Client: Stealth Startup Location: belfast, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: We … to impact operational planning within the sector. As a company handling heavy and critical data, we believe this is a perfect time for a Machine Learning Engineer to join our team. Who are we looking for? We are looking for a Machine Learning Engineer to enhance … to produtionize scalable NLP models using state-of-the-art techniques and frameworks Stay up-to-date with the latest advancements in NLP and machine learning, and apply new methodologies to improve existing models Deploy data science models on scalable AWS cloud infrastructures, ensuring best practices for security More ❯

Dental, Will Writing etc ??Annual Leave ??? 23 days rising to 27 with length of service ??Sick Pay ??? Increasing with length of service Role overview:Machine Learning Engineer (Manchester or London, Hybrid working) We are looking for an experienced Machine Learning Engineer to join a newly formed … Experience with Databricks ??Experience with managed endpoints, AKS or equivalent ??Experience with VCS ??Experience with CI/CD ??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 ❯

Social network you want to login/join with: Senior Digital FPGA Engineer - IP/Machine Learning in job available in Cambridge, Cambridgeshire Cambridge based business in the technology hub of the UK Rare opportunity to be part of a leading Machine Learning/AI technology … business Fantastic benefits package and salaries on offer, including hybrid working (3 days on site, 2 at home) A leading machine learning business involved in developing incredible financial industry technology are seeking skilled Senior Digital Design and FPGA Engineers to join their HQ in Cambridge. This company offers … investment into new innovation. As a Senior Digital FPGA Engineer you will develop FPGA's using SystemVerilog. You'll work closely with software and machine learning experts to help build low-latency/high-throughput applications. What skills and experience is required: FPGA Design, development and testing experience 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 ❯

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 ❯

visual storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level. The Role: This is an opportunity for an experienced and technically hands-on Staff Software Engineer … AI/ML to take a leading role in defining, building, and scaling their AI and machine learning capabilities. This is a foundational role that combines technical leadership, strategic thinking, and day-to-day development. We are looking for someone who has focused on hands-on coding rather … than management or other hands-off responsibilities. You’ll architect and build reliable and scalable AI/ML systems, laying the groundwork for a new, dedicated team focused on intelligent product capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an 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 ❯

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 ❯

early-stage startup backed by top-tier investors is seeking an ambitious Machine Learning Engineer to join as their first full-time ML hire . As a core member of the founding team, you’ll generative voice and speech-to-speech models and your work will directly shape … paced, high-performance environment. ? What You’ll Do Design and implement cost-efficient, high-performance infrastructure for storing and transforming massive audio datasets. Apply ML audio and DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. … Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to enhance product capabilities. Develop robust testing pipelines to evaluate model performance on audio data. What We’re Looking More ❯

Permanent Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent … UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have … background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high More ❯