Ai Ml Engineer Jobs in Malta

tuning to full solution architecture: LLM orchestration, <b>agent</b> frameworks, backend engineering and production deployment. It

We are seeking an ML Engineer specializing in Python to package, serve, and operate AI capabilities across our client's shared platform. Their customers rely on fast, defensible answers across massive volumes of unstructured text, documents, audio, and video for critical missions in defence, intelligence, and law enforcement.In this role, you will bridge the gap between research and production—taking models out of notebooks and packaging them into versioned, production-ready artifacts served behind standardized APIs. You will own inference performance, cost, and output provenance across cloud, on-premise, and fully air-gapped environments.Key ResponsibilitiesProduction Serving: Package models as immutable versioned artifacts, deploy them onto shared runtime infrastructures (e.g., Triton, vLLM), and expose them behind standards-compliant contracts.Benchmarking & Model Selection: Evaluate and select models using a centralized testing framework with reproducible runs, clear task metrics, and complete documentation.Performance & Cost Optimization: Manage inference latency, throughput, dynamic batching, quantization, and GPU placement to keep performance high and cost accountable.Observability & Operations: Instrument dashboards, trace request pipelines, monitor for quality/drift, and participate in on-call rotations for served capabilities.Constrained & Offline Delivery: Prepare ML pipelines and OCI artifacts for unattended execution in air-gapped customer environments with strict audit and provenance constraints.RequirementsDepth in at least one key domain: Language & NLP, Speech & Audio, Vision & Document AI, or Agentic & LLM Systems.Advanced production skill in Python (3.12+, uv, PyTorch, Hugging Face Transformers) with a proven track record of reading, adapting, and evaluating model implementations.Hands-on experience with production model serving (vLLM, NVIDIA Triton), FastAPI, and streaming OpenAI-compatible API contracts.Experience deploying GPU workloads on Kubernetes (node selection, autoscaling, scheduling constraints) and managing observability (tracing, latency percentiles, GPU utilization).Strong evaluation hygiene with task-appropriate metrics (F1, mAP, WER, BLEU/COMET, DER), regression gating in CI, and experiment tracking.Firm grasp of ML provenance, reproducible builds, and immutable artifact packaging (OCI model supply chain).Must be located in Malta or willing to relocate permanently Education and ExperiencePassionate about EU Security and Defence.BenefitsFully Remote Set-UpCompany equipment and a home office budgetRelocation Support About UsKonnekt:Established in 2007, Konnekt has grown into Malta's leading job agency. Our team is here to simplify your job search by presenting over 400 career options across various fields. We have robust connections with top employers in Malta, making us the ideal choice for anyone considering a career change. At Konnekt, we believe in straightforward actions and staying true to our values. This commitment has been the driving force behind our success. Whether you're seeking new opportunities or exploring a different career path, we are your reliable partner throughout the process. Our website provides more insights into our approach and the array of services we offer. Take a moment to explore and discover how Konnekt can be instrumental in shaping your professional journey.

Join a leading affiliate in the iGaming industry as a Content & AI Lead (internal title: Portal Lead).Core skills: Content Operations | Commercial Acumen | AI FluencyWIS – who?Web International Services(WIS) is a lead generation company operating within the iGaming sector since 2012. Our mission is to provide players with top-notch data and reliable information through our one-stop-shop portals to enrich their betting experience. Our people are the experts that make this happen, and we are committed to making their employee experience positive and fun, while focused on growth and high performance.About The JobWe’re looking for a Portal Lead to own and grow our UK sports betting portal, combining strong sports and content expertise with SEO, commercial thinking, people leadership and advanced use of AI.You’ll act as the senior content owner for the portal, responsible for what we publish, how we produce it, how we optimise it and ultimately how it contributes to traffic, engagement, conversions, revenue and profitability.This is a hands-on, operational role. We’re looking for someone who understands content deeply, is comfortable working with data and is proactive in using AI to improve and redesign how the content team works.What you will be doingOwn the portal’s content strategy and editorial roadmap, covering sports content, evergreen content, commercial pages and betting-focused content.Drive portal performance, using traffic, rankings, engagement, conversion and revenue data to identify opportunities and continuously improve results.Lead the content team, including recruitment, coaching, performance management, workload planning and deciding the right mix of internal resources.Own editorial quality and standards, ensuring content is accurate, useful, differentiated, SEO-driven and compliant with relevant UK gambling and industry requirements.Design and improve the content plan, the team’s workflow, aligned with internal objectives, and taking other stakeholders’ input into consideration.Use SEO, audience and competitor insights to identify content gaps, understand search intent and prioritise opportunities with the greatest potential impact.Own content optimisation, continuously improving, updating, consolidating or removing existing content based on performance and changing search demand.Embed AI into content operations, using tools such as Claude and ChatGPT to automate or augment research, briefing, SERP analysis, QA, fact-checking, optimisation, publishing and other workflows.Build and improve AI-powered workflows, experimenting with agents, automations and new AI capabilities to improve content quality, efficiency, scalability and cost.Work cross-functionally with SEO, Product, Design, Development, Affiliate, AI and central Content teams to improve the portal’s user experience and commercial performance.Own the portal’s content budget and commercial contribution, working with leadership to deliver agreed revenue and profitability targets and making resource decisions based on expected return.What would make you a great fit? 3+ years’ experience in sports betting, iGaming, sports media, affiliate or a closely related content environment, ideally with strong UK market experience.Strong knowledge of UK sports and betting, particularly football, and a genuine understanding of the sports audience.Proven experience leading or managing a content/editorial team and owning an end-to-end content operation.Strong understanding of SEO, search intent, keyword research, content strategy and content optimisation.Experience using SEO and analytics tools such as Ahrefs, Google Search Console, Google Analytics or equivalent.Strong editorial judgement with excellent writing, research, fact-checking and quality-control skills.Commercial mindset with an understanding of how content contributes to traffic, conversions, FTDs, revenue and profitability.Advanced AI fluency with hands-on experience using AI tools to improve workflows — not simply to generate content.Experience building or experimenting with AI workflows, automations, agents or multi-step processes; experience with Claude, ChatGPT, MCPs or APIs is a plus.Hands-on, analytical and highly curious, with a builder mindset and a willingness to experiment, solve problems and continuously improve how the team operates.Some of our benefits: Full remote working offered through contractor agreement OR Hybrid working setup with a flexible work environment in MaltaCompany events in Malta organised and paid for by WIS for EU employees – twice a yearAccess to learning platforms and educational support offered to boost your knowledge and careerAttractive performance bonus & more...Find out more about what makes WISards truly magical – Web International Services Ltd.At WIS, we specialise in user-focused informational websites, with digital performance marketing as our expertise. Our main goal is to deliver value to players while promoting trusted brands and top products across different markets.

Model Design & Development: Architect, train, and evaluate state-of-the-art computer vision models for tasks such as object detection, segmentation, pose estimation, scene understanding, and multimodal perception.Algorithm Optimization: Optimize deep learning architectures for real-time inference, low-latency execution, and hardware efficiency across cloud and edge infrastructure. Pipeline Engineering: Build and maintain scalable data ingestion, annotation, synthesis, and continuous evaluation pipelines for large-scale visual datasets. Cross-Functional Collaboration: Partner closely with HCI designers, ML researchers, and software engineers to integrate computer vision capability into user-facing product features. Research & Innovation: Stay at the forefront of AI research. Education: Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Computer Vision, Electrical Engineering, or a related technical field. Hands-on Experience: 3+ years of professional or research experience developing and deploying production-grade computer vision models. Core Skills Deep Learning Expertise: Demonstrated understanding of modern neural network architectures (CNNs, Vision Transformers, attention mechanisms, feature extraction). Deployment & MLOps: Deployment & MLOps: Experience with model quantization, pruning, fine-tuning, and deployment runtimes (e.g., ... Experience working with multimodal models (integrating vision, text, audio, or sensor telemetry). Familiarity with Human-Computer Interaction (HCI) applications, eye-tracking, or spatial computing platforms. Background in synthetic data generation (using engines like Unreal, Unity, or Blender). Track record of peer-reviewed publications at top AI/CV conferences (CVPR, ICCV, ECCV, NeurIPS).

We're looking for a Senior AI Engineer to join our Data Center of Excellence (CoE) team at Betsson Group. You'll design, build, and deploy AI and agentic solutions with real business impact, from LLM-driven pipelines to intelligent automation, while helping shape our technical direction. If you're passionate about applied AI and enjoy turning emerging research into production-grade systems, we'd love to hear from you!The WowYou'll be at the forefront of AI innovation in iGaming – a space where cutting-edge technology meets real-time, high-stakes decision-making. As part of our Data CoE, you'll take ownership of complex AI initiatives end-to-end, from architecture to deployment, working closely with stakeholders to translate business needs into production-grade solutions. You'll have the autonomy to solve hard problems independently, the platform to influence how AI is adopted across the business, and the opportunity to share your expertise with the wider team.A taster of what you will be involved with: Expect to independently design, build, and deploy LLM-powered pipelines and autonomous agents that solve real operational challenges from intelligent automation to advanced retrieval systems. You'll work closely with stakeholders to scope and deliver solutions, get hands-on with frameworks like LangChain, and help set best practices around MLOps and production-grade AI. You'll also have opportunities to mentor developers and contribute to internal knowledge-sharing as part of a well-rounded senior role.What we are looking forThe ideal candidate must have the following:BSc/MSc in CS, AI/ML, Data Science, or related field3+ years industry experience designing, building and deploying Generative AI solutionsStrong proficiency in PythonHands-on experience with agentic frameworks (LangChain, LangGraph, Strands or equivalent)Solid foundations in deep learning and foundation modelsExperience integrating and orchestrating LLM-based pipelines end-to-endAbility to lead technical discussions, mentor junior/mid developers, and deliver internal knowledge sessionsFamiliarity with LLMOps (CI/CD pipelines, model hosting, evaluation, production monitoring)Good knowledge of RAG pipelinesThe following are preferred but not required: Familiarity with cloud AI services (AWS Bedrock, Azure Open AI)Experience with fine-tuning LLMs (LoRA, QLoRA)Experience in building advanced knowledge retrieval systems including Knowledge Graphs and Context GraphsPrevious experience in iGaming industryWhat we offerMuch like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you're a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you'll fit right in. Challenge accepted?

The WowAs a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.A taster of what you will be involved with: Design, implement, and optimize machine learning models to solve complex business problems.Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.Write and maintain high-quality, production-ready code for machine learning models and services.Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.What we are looking forBachelor's or Master's degree in Computer Science, Engineering, or a related field.Proven experience as a Senior Machine Learning Engineer, with a strong track record of deploying models in production environments.Proficiency in Python, TensorFlow, PyTorch, and other machine learning frameworks. Experience with cloud platforms (AWS, GCP, Azure).Strong problem-solving skills and the ability to analyze complex data sets to derive actionable insights.Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.What we offerMuch like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

We are seeking an ML Engineer specialising in Python to package, serve, and operate AI capabilities across our client's shared platform. Their customers rely on fast, defensible answers across massive volumes of unstructured text, documents, audio, and video for critical missions in defence, intelligence, and law enforcement.In this role, you will bridge the gap between research and production, taking models out of notebooks and packaging them into versioned, production-ready artifacts served behind standardised APIs. You will own inference performance, cost, and output provenance across cloud, on-premise, and fully air-gapped environments.For this role, you need to be located in Malta or willing to relocate. Key ResponsibilitiesProduction Serving: Package models as immutable, versioned artefacts, deploy them onto shared runtime infrastructures (e.g., Triton, vLLM), and expose them behind standards-compliant contracts.Benchmarking & Model Selection: Evaluate and select models using a centralised testing framework with reproducible runs, clear task metrics, and complete documentation.Performance & Cost Optimisation: Manage inference latency, throughput, dynamic batching, quantisation, and GPU placement to keep performance high and cost accountable.Observability & Operations: Instrument dashboards, trace request pipelines, monitor for quality/drift, and participate in on-call rotations for served capabilities.Constrained & Offline Delivery: Prepare ML pipelines and OCI artefacts for unattended execution in air-gapped customer environments with strict audit and provenance constraints.RequirementsDepth in at least one key domain: Language & NLP, Speech & Audio, Vision & Document AI, or Agentic & LLM Systems.Advanced production skill in Python (3.12+, uv, PyTorch, Hugging Face Transformers) with a proven track record of reading, adapting, and evaluating model implementations.Hands-on experience with production model serving (vLLM, NVIDIA Triton), FastAPI, and streaming OpenAI-compatible API contracts.Experience deploying GPU workloads on Kubernetes (node selection, autoscaling, scheduling constraints) and managing observability (tracing, latency percentiles, GPU utilization).Strong evaluation hygiene with task-appropriate metrics (F1, mAP, WER, BLEU/COMET, DER), regression gating in CI, and experiment tracking.Firm grasp of ML provenance, reproducible builds, and immutable artefact packaging (OCI model supply chain).BenefitsFully Remote Set-UpCompany equipment and a home office budgetRelocation SupportEducation and experiencePassionate about EU Security and Defence.

Who are weBesedo is a tech company delivering Trust & Safety solutions to online marketplaces worldwide. Every year, we review and moderate over 500 million pieces of user-generated content and block more than 40 million fraud attempts – helping online platforms stay safe and trusted for millions of users.Besedo has headquarters in Stockholm (Sweden) and employs over 300 employees in 5 offices in different countries. Implio is our all-in-one SaaS moderation platform that combines state-of-the-art AI (deep learning, NLP, computer vision) with a powerful user interface for human moderation and powerful analytics. The result is an easy-to-use content moderation solution that enables companies to reduce risks, protect their users and build safer online environments.Learn more about Implio in this , and discover more about Besedo on our .About the roleWe are looking for a senior-level AI/ML professional to lead the productionization, deployment, and continuous optimization of ML systems in mission-critical environments. This role requires strong technical leadership, deep hands-on experience shipping models to production, and the ability to drive reliability, scalability, and cost/performance trade-offs end-to-end. The ideal candidate combines strong ML depth with MLOps and production engineering excellence, and can operate autonomously while influencing architecture and best practices across teams.Key QualificationsMaster’s, PhD, or equivalent experience in Computer Science, Engineering, Data Science (or related), with strong foundations in mathematics, statistics, and ML.6+ years (or equivalent) experience across ML engineering and MLOps / production ML, with a proven track record delivering high-impact systems in production.Demonstrated expertise deploying models to production: scalable serving patterns, model packaging, inference optimization, observability, and safe rollout strategies.Strong experience with model performance and efficiency optimization: latency/throughput tuning, batching, quantization, ONNX/TensorRT, GPU/CPU optimization, memory and cost tuning.Strong proficiency in Python.Hands-on experience with ML frameworks such as PyTorch, scikit-learn, and optimization/runtime stacks like ONNX, TensorRT.Strong grasp of CI/CD for ML (e.g., GitLab CI), containerization (Docker), and reproducible workflows.Experience with monitoring and reliability: metrics/logging/tracing, model/data drift, alerting, SLOs, incident response practices.Plus (nice to have): Kubernetes, AWS, FastAPI (and/or similar Python serving frameworks), SageMaker, service meshes, feature stores, model registries.What will you ownHandle the production lifecycle of ML systems: training, packaging, deployment, monitoring and controlled rollouts.Design, build, and continuously improve training and retraining pipelines (data ingestion, labeling/QA loops, feature generation, experiment tracking, reproducibility).Build and improve high-performance inference services and deployment patterns.Drive inference optimization (ONNX/TensorRT, quantization, batching, GPU/CPU tuning) with measurable latency/cost improvements.Partner with DevOps/SRE to ensure operational excellence: scaling, reliability, incident readiness, observability, and alerting.Own model versioning, CI/CD, and release workflows ensuring reproducibility and safe delivery to production.Strengthen data & model monitoring (performance, drift, quality) and implement feedback loops for continuous improvement.Communicate results and trade-offs to stakeholders, turning technical outcomes into business value.Ensure model quality through rigorous evaluation and production-grade validation aligned with evolving data and business needs.How you will workThis is a 100% remote role. To be considered, you must be based in, and have the right to work in Romania or Malta.You will work with a team of talented Machine Learning Engineers, DevOps and Developers who are passionate about their work and like to have fun in the process.We welcome applicants of all backgrounds.What it’s like working with us?At Besedo, we all come from different cultures and backgrounds, but we share a common set of values:We like to get things done ✔️We support each other to reach our goals and grow as professionals 🤝We love to learn, share and have fun together 🎉Who we areAt Besedo, we protect people where they meet online. Our work helps online businesses keep their communities safe and create experiences built on trust, respect, and care.Our technology does the heavy lifting. We build intelligent tools and train advanced AI models to stop harmful content before it ever reaches the end user.But technology alone isn’t enough.What truly makes the difference is human intelligence. Our moderation experts bring judgment, empathy, and context — the things machines can’t replicate. They review content with care and responsibility, making thoughtful decisions that protect users while preserving what makes the internet open and human.Together, our people and our technology create safer digital spaces.

Develop and implement computer vision systems and algorithms to analyse images and videos, enabling applications such as object detection, image recognition, tracking and automated visual inspection.-Support and advise on research agendas on learning from human feedback over multimodal and temporal signals (e.g., video, audio, human interaction data). -Design and run experiments on subjective and temporal annotation—modelling inter-annotator variability, label uncertainty, and preference dynamics over time. -Develop novel methods at the intersection of preference learning, affective computing, and multimodal foundation models, with a focus on computer vision applications. -Collaborate with engineering teams to translate research prototypes into production-ready models and evaluation pipelines. -Establish rigorous evaluation methodologies and benchmarks for human-feedback quality, model alignment, and robustness. -Publish findings in top-tier venues (e.g., NeurIPS, ICML, ICLR, CHI) and represent the company in the research community. -Partner with engineering teams to translate research insights into product direction and real-world impact.

Develop, deploy and optimise advanced AI and machine learning solutions, ensuring system integration, performance, scalability and technical reliability.About the opportunity:Sovereign Technology Centre Limited (STC) is a technology company focused on the research, development, and implementation of artificial intelligence solutions. The company develops Sovereign-AI technologies designed to provide greater technological and data sovereignty, reduce reliance on frontier large language models (LLMs), and support secure and independent AI infrastructure. Its activities include AI and machine learning research and development, software development, and the implementation of innovative technology solutions.Take a leading technical role in designing, building and improving production-oriented AI solutions.Key responsibilitiesDesign and implement AI/ML components and integrations.Guide model evaluation, deployment, monitoring and optimisation.Collaborate across engineering and product teams on technical decisions.Support code quality, documentation and mentoring where appropriate.Candidate profileQualifications and experience: Relevant qualification in Computer Science, IT, Engineering or a related field, or equivalent practical experience. 2–4 years of experience at mid-level or 5+ years at senior level, depending on the position.Substantial practical AI/ML engineering experience.Strong Python and software engineering fundamentals.Experience deploying and operating models or AI-enabled services.Knowledge of cloud infrastructure, MLOps and responsible AI practices is desirable.

Develop and test AI and machine learning applications under supervision, assisting with programming, model development and technical documentation.About the opportunity:We are a technology company focused on the research, development, and implementation of artificial intelligence solutions. The company develops AI technologies designed to provide greater technological and data sovereignty, reduce reliance on frontier large language models (LLMs), and support secure and independent AI infrastructure. Its activities include AI and machine learning research and development, software development, and the implementation of innovative technology solutions.Join the technical team in an entry-level capacity, gaining practical experience supporting AI development and testing.Key responsibilitiesAssist with data preparation, testing and documentation.Support development of small AI or automation components under supervision.Participate in code reviews, team learning and quality checks.Report findings and maintain clear technical notes.Candidate profileQualifications and experience: Relevant qualification, coursework or training in Computer Science, IT, Engineering or a related field, or equivalent demonstrable skills. 0–1 years of relevant experience; entry-level candidates are welcome.Foundational programming knowledge, preferably Python.Basic understanding of AI, machine learning or data analysis.Willingness to learn, solve problems and collaborate.Relevant coursework, projects or a technical qualification are desirable.

Develop, test and implement AI and machine learning solutions, supporting model development, system integration and optimisation of AI applications.About the opportunity:We are a technology company focused on the research, development, and implementation of artificial intelligence solutions. The company develops AI technologies designed to provide greater technological and data sovereignty, reduce reliance on frontier large language models (LLMs), and support secure and independent AI infrastructure. Its activities include AI and machine learning research and development, software development, and the implementation of innovative technology solutions.Contribute to the development, integration and maintenance of practical AI solutions within a collaborative engineering environment.Key responsibilitiesDevelop and evaluate machine-learning or AI features.Prepare data pipelines and support model testing and deployment.Collaborate with software engineers and product stakeholders.Document implementations, monitor performance and improve reliability.Candidate profileQualifications and experience: Relevant qualification in Computer Science, IT, Engineering or a related field, or equivalent practical experience. 2–4 years of relevant software or AI development experience.Hands-on Python development and applied ML experience.Understanding of model evaluation, APIs and software engineering practices.Experience with relevant ML frameworks and version control.Exposure to cloud services or MLOps is desirable.