1 to 25 of 65 Machine Learning Jobs in Wales

develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love … perfect opportunity to kickstart your career. What You’ll Be Doing You’ll play a key role in helping our team develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow ...

growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You'll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring … data pipelines to implementing and validating ML models, you'll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized ...

ML/Machine Learning/C++/Python/CUDA Machine Learning Engineer – AI & Foundation Models (Future CTO Track) West London | 3–4 days onsite Up to £150k + equity Company: AI StartUp We're hiring one of the first technical engineers for a pioneering … architecture across training and inference, working directly with the founders and evolving toward Head of Engineering/CTO. You'll work on: High-performance ML systems (training + inference) C++/CUDA optimisation and GPU-accelerated components Large models (e.g. transformers), latency & throughput optimisation Distributed systems and cloud deployment Internal ...

Research Engineer (ML) Remote (UK) £90,000 – £120,000 + generous equity Company Overview: We're working with a well-funded early-stage BioAI company applying machine learning to a challenging biological problem with real impact on sustainability and food security. The team is building an ML-first … actively used by scientists to guide real experimental decisions. The Role: They are looking for a Research Engineer who will work closely with ML scientists, chemists, and biologists to design, implement, and evaluate new modelling approaches. Your focus will be on building models, running experiments, validating results, and ensuring that ...

Understanding user behaviour with respect to ads quality* Building a solid infrastructure around signals, labels and quality metricsWe work at the intersection of Ads, Machine Learning and User Behaviour understanding. The nature of our work is very analytical, with a solid collaboration with our Data Scientist … consistently hit their goals and delivered XXXM$ in incremental long term revenue for Meta while ensuring high ads quality. Software Specialist (TL) - AI/ML - Monetisation Responsibilities: Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient Effectively communicate complex features ...

Understanding user behaviour with respect to ads quality* Building a solid infrastructure around signals, labels and quality metricsWe work at the intersection of Ads, Machine Learning and User Behaviour understanding. The nature of our work is very analytical, with a solid collaboration with our Data Scientist … consistently hit their goals and delivered XXXM$ in incremental long term revenue for Meta while ensuring high ads quality. Software Specialist (TL) - AI/ML - Monetisation Responsibilities: Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient Effectively communicate complex features ...

Build the ML systems that power market leaders Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products … mission-critical decisions across the enterprise. As a Senior Machine Learning Engineer, you will own end-to-end ML systems that power our core product. You'll design and operate scalable ML data pipelines and agentic workflows, ship production-ready LLM and model-driven features, and help guide ...

solutions developed by the team. The roadmap is an exciting mixture of greenfield projects and continuous improvement, including initiatives to embed AI and machine learning into our solutions. From intelligent chatbots to predictive forecasting we’re exploring how these technologies can transform internal processes. This is an exciting … opportunity for someone with a keen interest in generative AI and machine learning. The team has grown significantly over recent years and as a result we’ve reorganised ourselves into smaller agile squads which each manage their own workstream and champion the business domains they work with. Applications developed ...

design, and machine learning. Design and run experiments, iterate based on results, and document and share learnings with the team. Use pre-trained ML models, and train or fine-tune models on internal datasets with proper evaluation and validation. Communicate regularly with team members, the team lead, and cross … data science or a related field (Master’s degree preferred). Proficient in at least one programming language—ideally Python—with experience in common ML libraries. Experience with hybrid ML workflows (traditional ML, LLMs, embeddings, ontologies, knowledge graphs). Comfortable working with relational, NoSQL, and graph databases. Strong data-processing ...

deep, owning both architecture and delivery. The Role This is an 80% hands-on, 20% leadership role. You'll lead the development of proprietary ML systems (including LLMs), scale MLOps pipelines, and ensure responsible AI practices. Working closely with Product, Engineering, and senior leadership, you'll translate strategic goals into … robust, production-ready AI solutions. Responsibilities Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility Lead responsible ...

deep, owning both architecture and delivery. The Role This is an 80% hands-on, 20% leadership role. You'll lead the development of proprietary ML systems (including LLMs), scale MLOps pipelines, and ensure responsible AI practices. Working closely with Product, Engineering, and senior leadership, you'll translate strategic goals into … robust, production-ready AI solutions. Responsibilities Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility Lead responsible ...

predictions, abstracting away the complex engineering to speed up innovation. Tecton's founders developed the first Feature Store when they created Uber's Michelangelo ML platform, and we're now bringing those same capabilities to every organization in the world. Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner … successfully implement Tecton deployments and build features, in both an advisory and/or hands-on fashion, to enable their high-impact AI/ML use-cases. Responsibilities Collaborate with the Delivery/Engagement Managers, pre-sales, and Account team to understand customer needs and business requirements/objectives Design ...

predictions, abstracting away the complex engineering to speed up innovation. Tecton's founders developed the first Feature Store when they created Uber's Michelangelo ML platform, and we're now bringing those same capabilities to every organization in the world. Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner … successfully implement Tecton deployments and build features, in both an advisory and/or hands-on fashion, to enable their high-impact AI/ML use-cases. Responsibilities Collaborate with the Delivery/Engagement Managers, pre-sales, and Account team to understand customer needs and business requirements/objectives Design ...

analytics. • Data Product Development: Lead the design, development and optimisation of scalable, secure and high-quality data pipelines and analytical models, enabling advanced analytics, machine learning and operational use cases. • Collaboration: Work closely with cross-functional teams, including data science, engineering, product and business stakeholders to translate business … interfaces. • AI-Assisted Analytics: Bring experience and curiosity towards AI-assisted analytics and machine learning, actively exploring opportunities to integrate AI and ML within data and analytics products. • Data Governance: Ensure data lineage, cataloguing and access controls are implemented and maintained, supporting compliance, discoverability and ethical ...

Robotics Engineer, you will have the opportunity to design and implement advanced perception systems, combining robotics fundamentals with ground breaking machine learning (ML), artificial intelligence (AI), and computer vision techniques. This role offers an inspiring work environment where your expertise will contribute to ground breaking advancements … systems, focusing on object detection, tracking, and classification. Develop and optimise sensor fusion techniques, integrating data from cameras, LiDAR, radar, and IMU sensors. Create ML/AI models for scene understanding, semantic segmentation, and obstacle detection to enhance robotic decision-making. Integrate autonomous navigation solutions using the ROS2 Navigation Stack ...

Lead ML Ops Specialist **UK Remote • Contract • Outside IR35** I'm supporting an organisation in the iGaming space as they build and launch a completely new AI and Automation platform across their UK and International estate. They operate multiple brands across two platforms and are now integrating everything under … driven strategy — and they need a Lead ML Ops specialist to help drive it. This is a senior, hands on consulting role shaping how Machine Learning is deployed, scaled and monitored across the business. You'll work directly with their AI Ops team to define the platform, establish ...

investigation workflows, and threat analysis. Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end. Engineer and implement core parser and model components in C++ and Python to seamlessly integrate into the Cynet Endpoint Agent … platform infrastructure. Use Cynet's ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models. Serve as the cybersecurity expert within the Data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions. Requirements: 5+ years of hands-on cybersecurity research experience. Proven ...

unstructured data. Define and implement a unified data and metrics framework to ensure consistent definitions and understanding of KPIs across the organization. Data/ML Operations: Establish and lead the design of CI/CD processes and tooling for data pipelines, enabling scalable, automated, and high-quality delivery across environments. … Vertex AI platform, including Vertex AI Pipelines, Model Registry, and Vertex AI Endpoints. Experience building the infrastructure that facilitates deployment and production tuning of ML models and AI systems (including LLMs). GCP Professional Data Engineer or Professional Machine Learning Engineer certifications. Why join us? Become part ...

looking for a skilled GenAI Engineer to build generative AI solutions on Azure Databricks. Candidates should have experience in software engineering, data science, or machine learning, and be skilled with Mosaic AI, MLFlow and rest of the Databricks ecosystem such as Genie, Databricks One, and Unity Catalog ...

least three years of professional software engineering experience, data science or related Has at least two years of hands on experience building machine learning/LLM based features in a live product used by real users Has strong full stack skills, for example TypeScript and Node, Python ...

technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI. Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft ...

they impact AI governance and data handling. Cloud Technologies & AI Capabilities: Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings, understanding how these support AI development and deployment. Risk Mitigation & Tracking: Ability to develop and monitor risk mitigation plans, report on progress, and ensure ...

they impact AI governance and data handling. Cloud Technologies & AI Capabilities: Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings, understanding how these support AI development and deployment. Risk Mitigation & Tracking: Ability to develop and monitor risk mitigation plans, report on progress, and ensure ...

London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India ...

across multiple languages and frameworks (weve used Python, Java, Kotlin, Node.js, C#, JavaScript, Express, React and Next.js to name a few). Passion for learning new technologies and helping others do the same. Proven track record of leading software architecture design and strategic technology initiatives. Strong expertise in cloud … managing client relationships at a senior level. Experience delivering government or public sector projects. Eligible for (or holding) SC security clearance Knowledge of AI, machine learning, or other emerging technologies relevant to software engineering. Experience promoting knowledge sharing. This might be through mentoring, blogs, talks, or internal communities. ...