55 AI Algorithms jobs in Ireland

Our client is seeking a Machine Learning Engineer/ Artificial Intelligence Engineer to contribute to the development and deployment of advanced ML and AI solutions. This position offers diverse responsibilities, including leading a small team of machine learning engineers and collaborating closely with cross-functional groups to deliver solutions. The successful candidate will be instrumental in driving innovation and leveraging AI/ML expertise to enhance the financial lives of customers worldwide.

Key Responsibilities

Lead and manage machine learning projects from initial concept through to production deployment, fostering relationships with business partners and cross-functional teams. Work closely with business leaders and subject matter experts makers to define success criteria and enhance new products, features and models.

Collaborate with data scientists to interpret, train, and design machine learning models tailored to business needs. Partner with infrastructure teams to enhance the architecture, scalability, and performance of the machine learning platform. Construct optimised data pipelines for efficient feeding of machine learning models.

Extend existing machine learning libraries and frameworks as required for project success. Develop processes, monitoring systems, and governance frameworks to ensure successful operationalisation of ML models. Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for achieving key deliverables.

Establish standards for engineering and operational excellence to ensure a best-in-class ML platform, continuously improving to stay at the forefront of innovation. Design and implement architectural best practices for the delivery of data science use cases.

Skills/Experience Required

Proven experience deploying AI/ML models into production, taking a lead role in these initiatives. Familiarity with AWS SageMaker and Bedrock, and hands-on experience with large language models (LLMs) and Generative AI use cases. Solid practical knowledge of Machine Learning Engineering using Python, Java, and Scala.

Strong foundation in scientific principles such as algorithms, data structures, and multithreading. Experience with Generative AI, including the use of LangChain for Gen AI applications and Retrieval-Augmented Generation (RAG) techniques. Competency with ML and DL libraries such as XGBoost, scikit-learn, TensorFlow, and PyTorch.

Experience building solutions using public cloud platforms (AWS, GCP, or similar) and ML platforms like SageMaker, H2O, or equivalents. Understanding of the ML model development lifecycle, including components such as containers and distinctions between batch and real-time inference endpoints.

Experience developing and deploying production-grade applications with ML inference using automated pipelines on the cloud. Ability to manage relationships in cross-functional environments with multiple stakeholders. Experience working within Agile/Scrum development frameworks. Strong skills in innovation and problem-solving.

Desirable Skills

Experience with search platforms such as Solr or Elasticsearch. Background in building end-to-end recommender systems. Exposure to graph databases and platforms like Neo4j, and experience with CI/CD tools such as Jenkins. Knowledge of the Financial Services, Insurance, or 401K domains. AWS Solutions Architect certification.

Benefits

Competitive salary structure, including bonus, pension, and health care cover. Life insurance, laptop, phone, and access to extensive training resources. Company discounts, on-site parking, and additional employee benefits.

Position Details

Permanent role based in Letterkenny, Co. Donegal. Hybrid working model: three days per week on-site, with the remainder remote if desired.

Candidates must be eligible to work in Ireland or the EU.

For further details or to express interest, please contact David Coyle at or via email

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

Docusign is looking for a passionate, talented, and inventive Senior Machine Learning Engineer to help build industry- leading innovative solutions. The MLE will leverage mining, deep learning, content understanding, document processing and more. You will prototype machine learning models that deliver more personalized and automated customer experiences.

This position is an individual contributor role reporting to the Director of Engineering.

Responsibility

• Work together with the ML team to perform research, testing and evaluation of existing and emerging NLP/ML/DL methods and technologies that could be effectively applied to contractual/legal
• Apply NLP techniques in order to maintain and extend the current rule-based, supervised and unsupervised methods
• Apply ML/DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction etc.
• Develop a comprehension of the technologies, methods and the architecture within Docusign product development. Also an understanding of the entire software development end-to-end process as well as the product code and release management process will be essential
• Understand, assist and improve the existing training maintenance and enrichment process
• Work within the Machine Learning team to deploy models to production, using current and emerging machine learning methods and technologies
• Collaborate closely with Product Management to translate product requirements into robust, customer-agnostic machine learning success metrics

Hybrid:

Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

Basic

• 5+ years of experience in designing, developing, deploying and monitoring machine learning and deep learning solutions
• Experience programming in Python, PyTorch, TensorFlow, spaCy, scikit-learn, or equivalent machine learning framework
• Strong programming experience in one or more of the following languages - Python, C#, Java, C/C++
• Bachelor's degree in computer science, Physics, statistics, econometrics, operations research, applied mathematics or an equal computational field

Preferred

• Demonstrated experience developing and deploying sequence-based Deep Learning models
• Experience in the latest NLP big model technologies like GPT2, BERT, XLNet
• Experience in Computer Vision
• Strong desire to stay ahead of industry trends and technologies with a dedication to continuous learning
• Experience with Machine Learning Concepts
• Training, Validation, Testing, Precision/Recall, Bias/Variance etc
• Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured sets
• Assist with the development of language agnostic contract clause recognition, including Cyrillic (Russian) and double byte languages such as Japanese, Korean and Chinese

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at for assistance.

Take time to unwind with earned days off, plus paid company holidays based on your region.

Take up to six months off with your child after birth, adoption or foster care placement.

Options for 100% employer-paid health plans from day one of employment.

Select retirement and pension programs with potential for employer contributions.

Grow your career with coaching, online courses and education reimbursements.

Paid time off following the loss of a loved one and other life-changing events.

**eir evo talent are currently recruiting for a Machines Learning Engineer, based in Donegal.

Machine Learning Ops Engineer with a strong background in Cloud Engineering, particularly within the AWS environment, with a focus on platform engineering. The ideal candidate will have a passion for developing robust machine learning platforms and ensuring the seamless deployment and operation of ML models through efficient infrastructure and tooling.

Key Criteria:
Have they deployed any AI/ML models into production in a primary role? 
A must have.**

Do they have exposure to AWS Sagemaker and Bedrock?

Should have first-hand experience working with LLMs/ GenAI user cases.

Candidates must be eligible to work full time and long term in the location specified or currently hold a valid appropriate long term work Visa to apply.

eir evo talent, eir evo and our clients are equal opportunity employers who seeks to recruit and appoint the best available person for a job regardless of marital / civil partnership status, sex (including pregnancy), age, religion, belief, race, nationality and ethnic or national origin, colour, sexual orientation or disability. eir evo talent, eir evo and our clients apply all relevant Data Protection laws when processing your Personal Data.

If you choose to apply to this opportunity and share your CV or other personal information with eir evo talent, eir evo and our clients, these details will be held by us in accordance with our privacy policy used by our recruitment team to contact you regarding this or other relevant opportunities at eir evo talent and eir evo

Job Type:
Permanent

Location:
Hybrid – 3 days onsite in Letterkenny GDC, Co. Donegal per week

Ready to utilise your
AI/ML expertise to improve financial lives of customers worldwide?

Are you looking for an exciting opportunity
to grow your career with a dynamic global IT Consultancy?

Make a meaningful impact as a
Machine Learning Engineer

Join a global tech leader right here in Donegal. TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve. With over 850 employees and a state-of-the-art global delivery centre, we're proud to offer world-class career opportunities without having to leave the Northwest. Recognised as Workplace of the Year by the Letterkenny Chamber, we foster a culture of continuous learning, innovation, and respect. Our people are at the heart of everything we do – collaborating across teams, geographies, and disciplines to drive real change for clients around the world. Be part of something global, grounded in Donegal.

Careers at TCS: It means more

TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.

• Grow your career, while being exposed to new technologies.
• Be part of an exciting team where you will be challenged every day.
• Lead projects and inspire both colleagues and stakeholders.

The Role

As a
Machine Learning Engineer
, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value.

Key responsibilities:

• Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams.
• Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models.
• Partner with data scientists to understand, implement, train, and design machine learning models.
• Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform.
• Construct optimised data pipelines to feed machine learning models.
• Extend existing machine learning libraries and frameworks.
• Develop processes, model monitoring, and governance framework for successful ML model operationalisation.
• Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results.
• Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations.
• Design and implement architectural best practices in the delivery of data science use cases.

Your Profile

Key skills/knowledge/experience:

• Extensive software engineering experience with a strong working experience as a Machine Learning Engineer.
• Bachelor's degree in computer science, computer engineering, or a related engineering field. Master's degree preferred.
• Advanced proficiency with Python, Java, and Scala.
• Strong computer science fundamentals such as algorithms, data structures, multithreading.
• Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG.
• Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch
• In-depth experience building solutions using public clouds such as AWS, GCP.
• Experience using ML platforms like SageMaker, H2O, DataRobot, etc.
• Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc.
• Experience managing relationships in a cross-functional environment with multiple stakeholders.
• Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud.
• Experience working in Agile/ Scrum development process.
• Thought leadership and innovative thinking.
• Excellent communication and collaboration skills.

Desirable skills/knowledge/experience:

• Search platform experience (Solr, Elasticsearch, etc.).
• Experience in building end to end recommender systems.
• Exposure to graph databases and platforms, e.g. Neo4j.
• Exposure to CI/CD tools like Jenkins.
• Financial Services, particularly Insurance and 401K domain knowledge.
• AWS Solutions Architect certification.

Rewards & Benefits

TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop and access to extensive training resources and discounts within the larger Tata network.

We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon and partner with our local communities in Ireland.

Diversity, Inclusion and Wellbeing

Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the Ireland Employment Equality Acts as amended) and the Equal Status Acts as amended).

We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role.

As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at if you would like to opt in.

If you are an applicant who needs any adjustments to the application process or interview, please contact us at
with the subject line: "Adjustment Request" or email

to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.

Beware of Fraudulent offers

This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests You can write to

to report any fraudulent activity.

Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.

Join us and do more of what matters. Apply online now.

Position:
Machine Learning Engineer

Location:
Dublin, Dublin

Job Overview:

We are seeking a highly skilled and experienced Machine Learning Engineer to join our global music operations team. The ideal candidate will be responsible for collecting business requirements, preparing data sets, training, evaluating, and deploying Machine Learning (ML) models, as well as monitoring their performance and retraining models as needed. This role focuses on improving the user experience in the media domain, including music, video, and images.

Responsibilities:

• Collaborate with business stakeholders to clarify requirements, use cases, and business metrics.
• Work with data engineers to set up data pipelines and prepare data sets for model building.
• Partner with business domain experts to understand data and create features for model training.
• Design, build, and evaluate machine learning models.
• Work with the SRE team to deploy models for inference and monitor their performance.
• Retrain models as needed to ensure optimal performance.
• Communicate and explain models to business partners to secure adoption.

Qualifications:

• 10+ years of industry experience in machine learning.
• Strong experience with machine learning tools, libraries, and frameworks such as scikit-learn, pandas, numpy, PyTorch, and MLlib.
• Excellent knowledge of major machine learning algorithms, including statistical regression and deep learning.
• Proven experience in training and evaluating ML models with proper pipelines and metrics.
• Proficiency in at least one programming language, preferably Python.
• Strong knowledge and hands-on experience with SQL and various database technologies.
• Excellent written and verbal communication skills.

Education:
MS or PhD in Computer Science or a related field.

About PTR Global:
PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit

At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:

• Pay any fee to be considered for, submitted to, or selected for any opportunity.
• Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
• Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $50/hr - $60/hr

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

CarTrawler is the world's leading provider of car rental and mobility services to the global travel industry. If you've ever booked a flight and seen the option to rent a car, that was probably us.

But it's our people that make everything we do possible – and we'd love you to join us.

At CarTrawler, you'll find more than just a job. You'll find flexibility, meaningful impact, and a culture built by the people who live it every day. Whether you're developing new products, shaping customer journeys, or helping us scale, you'll be supported to do your best work, and enjoy the journey along the way. Our work culture is built on high performance, genuine connection, and a shared commitment to making an impact, without sacrificing personal wellbeing.

The Role

• Support the development and maintenance of software tools that underpin Data Science solutions and operations, using modern technologies (e.g. AWS, Docker, Kubernetes) to contribute to improved business performance.
• Collaborate with business stakeholders and engineering teams to gather requirements and contribute to the design and implementation of solutions.
• Assist in maintaining and enhancing existing tools/services developed by the Data Science team.
• Build CI/CD pipelines and contribute to testing, logging, and monitoring processes under guidance.
• Participate in code reviews and follow CarTrawler best practices for clean, maintainable code.
• Continuously develop technical skills and support the wider team, working under the mentorship of senior engineers.

Responsibilities & Accountabilities:

• Collaborating with team members and stakeholders to understand project requirements and identify areas where support is needed.
• Staying up to date with developments in Data Science and DevOps to help ensure our tech stack remains current.
• Contributing to the development of Data Science engineering solutions by:
• Supporting data collection, cleaning, and preparation based on identified requirements.
• The implementation of engineering solutions using appropriate tools and technologies.
• Following best practices for CI/CD, testing, logging, and monitoring under guidance.
• Writing scalable, production-ready code, with support from senior colleagues.

• Participating in deployments and monitoring the solution impact.

• Supporting ongoing development and maintenance of internal Data Science tools/platforms, such as:

• MVT – Multi-variate testing platform.
• ACDC – Cloud-based ML deployment tool.
• Action Factory – Automated decision-making platform.
• Echo – MLOps pipeline management tool.

• Various internal Python libraries and utilities.

• Assisting with BAU tasks and ongoing support of tools and services provided by the Data Science team.

• Clearly communicating updates and progress to team members in a way that suits both technical and non-technical audiences.
• Participating in proof-of-concept projects, helping to explore innovative solutions and learning how to analyse and interpret data effectively.
• Taking ownership of personal development by seeking guidance and feedback from mentors and contributing positively to a collaborative team environment.

Skills & Experience Required:

• Undergraduate degree in Computer Science, Engineering, Mathematics, or related technical field, or relevant internship/industry experience.
• Good understanding of software engineering and DevOps practices (e.g. Jenkins, Github Actions), including Object-Oriented Programming, data structures, version control, REST APIs, and containerisation tools (e.g. Docker, Kubernetes).
• Exposure to cloud platforms such as AWS or Azure.
• Experience with developing GenAI applications, or surrounding tech stack (e,g. Vector DB, NLP, LLM) seen as a plus.
• Proficient in writing clean, structured Python code; familiarity with common Python libraries used in data science and machine learning.
• Comfortable using version control systems (e.g. Git) and basic development workflows (commits, branches, pull requests).
• Exposure to ML libraries (e.g. scikit-learn; bonus for familiarity with TensorFlow or PyTorch).
• Willingness to learn test-driven development and build basic unit and integration tests with support.
• An interest in learning about production considerations like resource constraints and scalability.
• Basic SQL skills; exposure to other database types (graph, NoSQL) is a plus.
• Strong communication skills with a desire to learn how to present technical concepts clearly to varied audiences.
• A proactive and curious mindset, with a collaborative approach to learning and team engagement.
• Experience with developing GenAI applications or of supporting tech stack seen as a plus

Research shows that individuals from underrepresented backgrounds often hesitate to apply for roles unless they meet every single qualification, while others may apply when they meet only a portion of the criteria. If you believe you have the skills and potential to succeed in this role, even if you don't meet every listed requirement, we encourage you to apply. We'd love to hear from you and explore whether you could be a great fit.

Key Qualifications

• 10+ years of machine learning industry experience
• Strong experience using machine learning tools, libraries, and frameworks such as scikit-learn, pandas, numpy, pytorch, mllib and others
• Excellent knowledge and experience in all major machine learning algorithms, statistical regression and deep learning included.
• Strong production experience training and evaluating ML models with proper pipelines and metrics
• Proficiency in at least one programming language, preferably Python
• Strong knowledge and hands-on experience with SQL and different database technologies
• Excellent written/verbal communication and interpersonal skills

Transform Visual Models into Real-World Applications

We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world.

This is a remote role based in Dublin, working closely with our HQ in Malaysia and cross-functional regional teams. You'll operate across the stack, from backend logic and integration to frontend delivery, building intelligent systems that scale fast and matter deeply.

You'll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.

• Fine-tune & Adapt – Train and customize diffusion models (SDXL, Flux, Stable Diffusion variants) using LoRA, DreamBooth, and other parameter-efficient methods.
• Curate Datasets – Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.
• Evaluate & Align – Develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs.
• Optimize Performance – Apply GPU memory optimization, latent diffusion tricks, and distributed training for efficient scaling.
• Deploy & Monitor – Ship diffusion-powered features into production with monitoring for drift, latency, and quality.
• Collaborate & Deliver – Work with product and design to integrate generative vision capabilities into user experiences.

• Likes ownership and independence
• Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans.
• Stay calm and effective in startup chaos - shifting priorities and building from zero doesn't faze you.
• Bias for speed - you believe it's better to deliver something valuable now than a perfect version much later.
• See feedback and failure as part of growth - you're here to level up.
• Possess humility, hunger, and hustle, and lift others up as you go.

• Strong experience with diffusion models and generative vision (Stable Diffusion, SDXL, Flux, etc.).
• Hands-on skills with DreamBooth, LoRA/QLoRA, and fine-tuning methods.
• Proficiency with PyTorch (preferred).
• Experience in dataset preparation (captioning, tagging, filtering, augmentation).
• Knowledge of GPU optimization, latent diffusion, and efficient training techniques.
• Strong foundations in software engineering, algorithms, and clean code practices.

• Prior work in style transfer, personalization, or multimodal generation.
• Experience with safety alignment in generative vision (NSFW detection, adversarial testing).
• Open-source contributions in diffusion or generative vision projects.

• Flat structure & real ownership
• Full involvement in direction and consensus decision making
• Flexibility in work arrangement
• High-impact role with visibility across product, data, and engineering
• Top-of-market compensation and performance-based bonuses
• Global exposure to product development
• Lots of perks - housing rental subsidies, a quality company cafeteria, and overtime meals
• Health, dental & vision insurance
• Global travel insurance (for you & your dependents)
• Unlimited, flexible time off

We're a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you're hungry to grow and care deeply about excellence, join us.

BJAK is Southeast Asia's #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems.

If you're excited to build real-world AI systems and grow fast in a high-impact environment, we'd love to hear from you.