Libertex Group Overview  Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends.  The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of KICK Sauber F1 Team. We build innovative fintech so people can #TradeForMore with Libertex. Job Overview  We are looking for a Senior Machine Learning Engineer who will play a pivotal role in implementing, enhancing, and maintaining our machine learning solutions. Responsibilities: - Work closely with business departments (Sales, Marketing, Products, Payments, Dealing) to understand their needs and translate these into practical, scalable, and robust machine learning solutions. - Work on such projects like LTV prediction, churn prediction, antifraud solutions, uplift modelling, GenAI-applications - Oversee current solutions, manage improvements if needed, expand the role of machine learning across organisation. - Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring. - Implement new and support existing LLM projects (chatbots, knowledge base etc).

Role DescriptionAs a Machine Learning Intern, you’ll contribute to advancing Dropbox’s mission to create a more enlightened way of working through cutting-edge research and applied machine learning. You’ll collaborate with experienced engineers and researchers to design, prototype, and evaluate scalable AI/ML systems that power Dropbox Dash’s universal search and intelligent organization features. Your work will shape how millions of people find information, collaborate, and focus on meaningful work. This internship offers the opportunity to translate your research into real-world impact while gaining experience with large-scale production systems and cross-functional collaboration in a fast-moving, high-impact environment. Responsibilities - Research and prototype innovative machine learning approaches in areas such as Search, Large Language Models (LLMs), Multimodal Content Understanding, and Recommender Systems - Design and implement end-to-end ML pipelines—from data exploration to model training, evaluation, and deployment—in collaboration with mentors and product teams - Analyze large-scale datasets to identify opportunities for personalization and improved user experiences - Partner with Product, Design, and Engineering teams to integrate models into Dropbox products - Contribute to the team’s technical discussions, offering research-based perspectives to guide experimentation and long-term strategy Requirements - Currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field, with a research focus on advanced AI - Graduation date in Winter 2027 or Spring/Summer 2028. - Proven experience in applied AI, through research publications, significant projects, or internships where you built or tested advanced ML solutions. - Strong coding skills (e.g., Python, PyTorch, scikit-learn, or similar ML libraries), plus an ability to quickly prototype and iterate on cutting-edge ideas. - Curiosity and drive to explore novel ML methodologies and translate them into practical applications that solve user needs. - Research experience in one or more of the following: Natural Language Processing, Large Language Models, Deep Learning, Recommender Systems, Learning to Rank, Speech Processing, Graph Learning - Strong analytical and problem-solving skills, with the ability to bridge research and practical application - Excellent communication and collaboration skills, especially in interdisciplinary teams - Familiarity with modern ML infrastructure and large-scale data systems Preferred Qualifications - Publications in top-tier ML, AI, or NLP conferences (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, KDD, SIGIR, CVPR) - Experience with LLM-based applications or Retrieval-Augmented Generation (RAG) systems - Interest in translating research insights into product impact for real-world users - Familiarity with the end-to-end process of building AI prototypes: from data exploration and model iteration to evaluation and user testing. - Passion for swiftly moving from idea to experiment, comfortable with ambiguous or evolving project goals. CompensationUS Pay Range $11,500—$12,500 USD

Requisition Number: 2341781 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source documentation via enterprise assets, we're adding resources to our Claim Edit Hub team. This team will work to derive rules/edits directly from source documents (i.e. Policies) and expose them via Agentic workflow to make them accessible in a real time manner. This will also support our "shift left" strategy to enable claim edits/rules to be executed on Trial Claims to provide transparent cost estimates to Providers and Members. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Responsible AI & Compliance - Building & Productionizing AI Systems (agentic services, APIs/SDKs, RAG/CAG, E2E pipelines) - Ensure Model Quality, Evaluation, Security & Safety - Implement Observability, Operations excellence - Drive Architecture, Governance & Engineering Standards - Cross Functional Leadership & Collaboration You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 10+ years in Observability & Monitoring - SLOs for latency/cost/error; drift/skew detection; tracing/telemetry (OpenTelemetry style); alerting (eg, Prometheus/Grafana equivalents) - 5+ years in Programming & Packaging - Python (typing, pytest, packaging), SQL; shell for automation - 5+ years in ML / DL Frameworks - scikit learn, XGBoost; PyTorch or TensorFlow/Keras for deep learning - 5+ years in GenAI & Agents - LLM evaluation methods; RAG pipelines; prompt/route registries; LangChain style orchestration; model hubs (eg, Model Garden / Hugging Face) - 5+ years in Pipelines & Orchestration - Kubeflow or Vertex AI Pipelines; Apache Airflow/Composer - 5+ years in Model Registry, Experiment Tracking & A/B - Model registry (eg, Vertex AI Model Registry/MLflow); experiment tracking; canary/A B rollout - 5+ years in Serving & Inference - Batch/online endpoints, autoscaling; versioning and rollback strategies - 5+ years in MLOps / DevOps - CI/CD (GitHub Actions or equivalent); IaC; secrets/certs; containerization (Docker) and orchestration (Kubernetes) - 5+ years in Security - Access controls, key management, secrets hygiene; secure data paths end to end - 3+ years in Cloud Platforms - Public Cloud (Vertex AI, GPUs/TPUs), AWS/Azure AI services - 2+ years in Responsible AI & Compliance - Explainability/fairness testing; PHI/PII handling; model cards; AIRB/RAI artifacts and audit ready evidence *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #OptumTechPJ

Opportunity Overview: We are looking for a Machine Learning Engineer l to join our team! Our ML team’s work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources. In this role, you’ll join our growing team of world-class engineers, statisticians, and clinical experts to deploy machine learning algorithms that help automate burdensome administrative clinical practices. You will be tasked with finding the most promising opportunities for impact and then delivering on them. This is a unique opportunity to join a high caliber engineering team that is growing quickly. You will build impactful healthcare technology on a modern tech stack. What you’ll do: - Perform in-depth analysis of healthcare data to independently design, develop, and deliver clinical ML models. - Build reliable and scalable production machine learning systems - Work on feature engineering, statistical analysis, developing novel ML techniques, understanding performance, and improving model run time. - Work cross-functionally across diverse stakeholders, including product managers, statisticians, clinicians, and clinical analysts. What you’ll need: - You have 1-3 years full time professional experience in ML - You have an MS in computer science, machine learning, computational linguistics, statistics, mathematics or similar field - You have hands on experience building with modern language models, including context-engineering LLMs or fine-tuning SLMs - You understand scientific best practice in experimental design and can independently perform data collection, measurement, and interpretation of results - You have experience configuring, training, evaluating, deploying, and maintaining models in a production setting - Advanced proficiency in Python and familiarity with ML frameworks such as PyTorch. Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Up to 184 hours (23 days) of PTO per year + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance  The salary range for this position is $95,000.00 to $115,000.00 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - Behavioral Interview(s) - Live Coding - Case Study *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote