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. We are seeking a highly skilled and innovative AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Pharmacy domain. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Solid proficiency in Python and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras are essential. This role will involve close collaboration with Pharmacy Operations and Capability teams. On the Operations side, you’ll engage directly with Pharmacists to understand and solve real-world challenges. On the Capability side, you’ll work with Capability leaders to identify problem areas and co-design AI/ML solutions. You’ll also contribute to broader initiatives in Pharmacy Modernization, aligning with organizational goals to leverage emerging AI technologies for reducing manual work, accelerating delivery, and improving Net Promoter Score (NPS). If you are located in the EST time zone, you will have the flexibility to work remotely* as you take on some tough challenges. Primary Responsibilities: - Design, develop, and deploy AI/ML models using GenAI technologies (LLMs, RAG, Agentic AI) - Utilize frameworks such as LangGraph, LangChain, TensorFlow, PyTorch, or Keras for model development - Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure - Conduct rigorous model testing, validation, and performance optimization - Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions - Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets - Stay current with emerging trends and advancements in generative AI and ML technologies - Ensure code quality and security by identifying and resolving vulnerabilities - Maintain solid programming practices with a focus on Python - Work Eastern Time Zone hours to support collaboration across a global team - Participate in on-call rotations as scheduled - Not a research focused role, but more of an AI/ML product development role in a software engineering team. 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: - Bachelor’s degree or equivalent experience in Computer Science, Data Science, or related field - 5+ years of industry experience in AI/ML or Data Science - 3+ years of hands-on experience with Python and version control tools like GitHub - 3+ years of experience deploying AI/ML solutions in production environments - Experience with Git management and CI/CD best practices - Experience in designing high-level cloud architecture and solution designs for AI/ML solutions - Experience with AI/ML projects deployed in Production Preferred Qualifications: - Certifications in AI/ML or related technologies - Familiarity with cloud platforms (Azure, AWS, Google Cloud) - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) - Proven knowledge of UAIS and MLRB *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 $120,100 to $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable. 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.

• As an AI Engineer at Aceve, you will design, build, and deploy the internal AI solutions that power our digital transformation across the group’s portfolio companies. • You’ll take ownership of the full lifecycle of internal AI products — from scoping with business stakeholders through to deployment and continuous improvement. • Design and build AI agents, automations, and LLM integrations that solve real operational challenges across ACEVE Group’s portfolio companies. • Partner with business teams to understand their workflows, identify high-impact AI opportunities, and translate them into working solutions. • Iterate on deployed solutions based on real-world usage and feedback, ensuring adoption and continuous improvement. • Contribute to a shared engineering foundation — reusable components, patterns, and best practices that scale across the group. • Evaluate and recommend new AI tools, models, and frameworks that could advance Aceve’s internal capabilities. • Document your solutions clearly so business teams and colleagues can understand, maintain, and build on them. • Support the AI Champions network with technical guidance and pair-building sessions, helping colleagues across departments implement AI in their daily work. • Run occasional hands-on or remote workshops when deep technical expertise is needed, and gather user feedback directly across ACEVE’s multiple markets.

Applied AI Engineer Company: Arena Department: Engineering Location: London or Remote Level: Graduate – 2 Years Experience About Arena Arena is a digital entertainment company building platforms people genuinely love and we build them differently. Since 2021, our portfolio has grown to include MetaWin, WOW Vegas, BetZoo Media, Hit.com, and Rolla, with further brands in development. Our teams operate across London, Malta, Gibraltar, and Miami. AI isn't something we bolt on it's the foundation we build from. We're not constrained by legacy systems or legacy thinking. We design and build AI-first platforms from the ground up, using modern infrastructure, distributed systems, and emerging AI tooling to move faster and build better products. The Role We're growing our core engineering team with new opportunities for Applied AI Engineers and we're deliberately hiring at an early-career level. We want engineers who have grown up building with AI. Who reach for LLM tooling instinctively. Who use it to punch above their weight on complexity and who haven't yet developed habits that slow them down. This is a frontline engineering role. You'll be embedded directly in the product and engineering team, deploying AI capabilities into the core of our platforms not prototyping in isolation, but shipping into production fast. This is not a research role. This is not a corporate engineering job. You'll move from concept → prototype → production, often within days. You'll work directly with product and engineering leads, own what you build, and be trusted to make real decisions without hand-holding. What You'll Work On - Building AI-powered product features used by real users at scale - Developing LLM-powered systems, internal tooling, and automation workflows - Deploying AI agents that solve real operational and product problems - Integrating multiple model providers and AI infrastructure layers - Building backend services that support AI-driven applications - Rapid prototyping and shipping new ideas into production quickly - Improving engineering velocity through AI-native development workflows What We're Really Looking For Beyond technical skills, three things matter most to us: 1. Agency & Product Sense You don't wait to be told what to do. You understand what users want, you understand what the business needs, and you connect those two things without being asked. You get things done independently, decisively, and with genuine ownership of outcomes. 2. AI as a Force Multiplier You use AI to move faster and take on problems that would otherwise be beyond reach not as a crutch, but as a genuine tool for expanding your capability. When you hit a blocker, AI is one of the first places you look. You're already experimenting with LLM tooling, AI workflows, and multi-model orchestration in your own time. 3. Quality Without Compromise Fast doesn't mean sloppy. You think things through before you ship. You don't blindly delegate reasoning to AI you use it to accelerate your thinking, not replace it. You hold yourself to a high bar and it shows in everything you build. AI Tooling We Work With We actively experiment with modern AI engineering ecosystems. Familiarity with any of the following is a strong signal: Engineering Tools: Claude Code · Codex · OpenRouter · OpenCode · Cursor Models: Claude · Kimi · Qwen · Frontier and open-source LLMs Experience with multi-model orchestration and applied AI systems is particularly valuable. If you've built something using these tools even outside of work tell us about it. Technical Foundation You likely have: - A strong software engineering foundation CS degree, bootcamp, or self-taught, we don't mind - Comfort working across backend systems and APIs - Experience shipping real software, not just writing it - 1–2 years of professional or serious personal project experience - Genuine curiosity about how AI systems work in production We care far more about what you've built than where you've worked or studied. This Role Is Probably NOT For You If - You prefer slow-moving, highly structured environments - You want rigid processes and detailed briefs before you can start - You're primarily interested in AI research rather than shipping products - You rely on AI to do your thinking for you rather than sharpen it What We Offer - Competitive salary for level of experience - A genuine learning environment at the frontier of applied AI engineering - Direct access to senior engineers and product leadership - Freedom to experiment with new tooling and the trust to ship - International team culture across London, Gibraltar, and Miami Arena is an equal opportunities employer. We are committed to building diverse, inclusive teams and welcome applications from people of all backgrounds, regardless of where or how they learned to build.

Role Description We’re looking for a Senior Full Stack Engineer to build and scale practical GenAI applications. This is a hands-on role for someone who enjoys turning complex ideas into working software quickly. You’ll own delivery from implementation to deployment and work closely with product and AI specialists to ship real solutions - not just prototypes. We’re looking for someone who is comfortable in ambiguous environments, moves fast, and cares more about outcomes than process overhead. What you’ll do - Build and ship full-stack GenAI applications from idea to production - Collaborate closely with product stakeholders and AI specialists to deliver practical solutions - Own technical implementation, deployment, and ongoing improvements - Solve technical challenges proactively and keep delivery moving - Stay close to developments in GenAI and bring useful ideas into the stack Qualifications - Strong experience building and shipping production-grade full-stack applications - Confidence working in ambiguous, fast-changing environments - Ability to adapt quickly to new tools, frameworks, and priorities - Practical mindset: you prefer working software over theoretical perfection - Clear communication with both technical and non-technical teammates - Experience with GenAI, RAG, or related tooling is a strong plus Requirements Preferred Tech Stack - Frontend: NextJS, React, Typescript, Tailwind, Shadcn - GenAI: OpenAI APIs, LangChain, RAG, vector DBs The stack above represents our current preferences, but your flexibility and ability to adapt to new tools or environments quickly are key. You’re probably a fit if - You enjoy solving real technical problems end-to-end. - You’re comfortable prototyping and iterating before everything is perfectly defined - You know when to stay tactical and when to build for scale - You can balance speed, quality, and practicality effectively Benefits - Remote-first setup, with the option to work from Berlin or Hamburg - Production-grade work across an international client base. Real deployments, not pilots - A team of about 15 product managers and engineers, very little overhead, everyone ships real things - Base Salary of 80.000 EUR - 110.000 EUR p.a. depending on experience - We're still building how we work, not just what we build. You'll have real influence over both Company Description At nexamind, we build custom AI systems that solve complex business problems and create measurable impact. We work with clients across Europe and the US, combining technical depth with a practical, hands-on approach to ship solutions that are used in real environments. At nexamind, we redefine knowledge processes and business models with customized AI agents. With over 30 complex AI projects completed across Germany, the UK, and the US, we focus on practical, high-impact solutions for our clients. Based in Berlin, our team of top experts is dedicated to delivering real results in AI-driven efficiency and innovation.