Find Your Dream Career

About Edra Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations. We're a Series A startup, backed by Sequoia and other leading VC firms, led by Co-Founders who created and led Forward Deployed AI Engineering at Palantir, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build. The Role We're building a learning system that teaches AI agents how enterprises actually work. Our system starts from what a customer already has: knowledge base articles, support conversations, tickets, system logs, and agent traces. From that evidence it reverse-engineers how the business actually runs and writes the process down as instructions a person can inspect and an agent can execute, with confidence scoring to know when to automate and when to seek human input. We're looking for AI Research Engineers who have built complex, production LLM-based systems. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction to their craft. You'll work on our agentic learning environment: the loops that turn human corrections and agent outcomes into better knowledge and instructions over time. The job combines applied research with ownership of production systems. You find a failure, form a hypothesis, run the experiment, and ship the fix into real customer workflows. You'll spend most of your time advancing our core context-learning library and the harness that powers our agents across every customer. The work spans continuous learning, context engineering, agent orchestration, and evaluation. You'll contribute to our knowledge benchmarks and to the self-improving capabilities of the harness. What You'll Do Build and extend our core context-learning library, turning customer-informed problems into reusable platform capabilities. Design and implement LLM-powered systems and agentic workflows from concept to production. Build agentic features for knowledge management: agents that can edit, update, and maintain large knowledge bases autonomously. Build continuous learning loops that use human corrections and production outcomes to find knowledge gaps, detect changed procedures, and improve prompts and instructions. Build reliability and confidence systems: evaluation frameworks, confidence scoring, and logic for when to automate and when to escalate to a human. Architect async, scalable systems that handle complex AI orchestration. Contribute to the direction of our AI strategy and product capabilities. What We're Looking For You've built a complex, production LLM system with real depth: multiple layers of engineering decisions you can walk through, including what changed after real users arrived. You have practical depth in one or more of context engineering, retrieval, agent orchestration, memory, evaluation, or learning from feedback. You have experimental judgment. You can turn an ambiguous problem into a testable hypothesis, set a baseline, and tell a real improvement from noise. You're excited by open-ended problems where the solution might not exist yet. You can navigate between research papers and production code with equal comfort. You're a strong communicator who can explain your work to teammates and customers. You have 3+ years of professional experience. Don't meet all of the above traits? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. Learn More About Edra Watch our Series A announcement video Read our blog post from our launch Learn more about what we're building Our founders point of view on the market Compensation & Benefits Edra offers generous compensation and benefits in both New York & London: Competitive base salary & meaningful equity Top tier health, dental, & vision plans: Top plans with 100% premium coverage in the US (and a One Medical membership) Private medical & dental coverage in the UK Flexible paid time off Lunch provided in office most days, snacks & drinks too A stipend to set up your workspace A Few Details We work together in person five days a week from our offices New York and London. Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic. Find more English Speaking Jobs in United Kingdom on Arbeitnow

YOUR JOB Do you want to build AI that goes beyond impressive demos and actually works at scale? As our AI Engineering Lead, you'll take on the harder challenge: turning ambitious ideas into trusted, production-ready technology. You'll lead a specialist team, shape the architecture behind our AI ambitions and play a defining role in how AI transforms DataGuard. WE PROTECT THE PEOPLE BEHIND THE DATA We are a fast-growing security and compliance tech company with a clear purpose: we protect the people behind the data. With over 200 team members worldwide and with offices in Munich, Berlin, London, Stockholm, and Vienna, we help more than 4,000 global customers get certified fast and build a strong and scalable risk posture. With AI-powered automation, self-serve capabilities, and additional tailored expert advice, we offer our customers a seamless security and compliance experience to stay ahead of the rapidly evolving security landscape and challenges like the surge in cyber-attacks. WHAT YOU'LL BE DOING Own the target architecture for DataGuard's AI technology and guide the transition from early-stage solutions to reliable, scalable production systems Lead and develop our three-person AI functional team, setting clear technical direction, priorities and meaningful development paths Understand the DataGuard product ecosystem and identify where AI can create genuine customer and business value across the platform Define robust engineering standards for validation, reliability, observability, testing, security, documentation and controlled releases Partner with Engineering, Product, Data Operations and selected business teams to deliver high-value AI initiatives without creating unsupported or unscalable solutions Balance architectural depth with pragmatic delivery, making thoughtful trade-offs while maintaining momentum in an ambitious scale-up environment WHAT YOU'LL GET IN RETURN The proper tools and capacities to build up and lead an ambitious, international team with diverse skill sets Enjoy the freedom and trust to bring in and execute your ideas with a quick pace, autonomy, and the ability to make impactful decisions. Gain strategic insights into management topics with the opportunity to actively contribute, working closely alongside leadership and executive peers. Rapid development opportunities, attractive performance bonuses, and the opportunity to strengthen your leadership skills and business expertise Step into a stable, forward-looking role within a dynamic scale-up poised to shape the fast-growing Security & Compliance industry THE QUALITIES YOU'LL NEED FOR A SUCCESSFUL CAREER AT DATAGUARD Excellent academic background in computer science, machine learning, mathematics or a related quantitative field Strong experience taking AI/ML systems from prototype to reliable, scalable production Excellent architectural judgement and the ability to make clear, pragmatic technical trade-offs Experience leading a specialist team while remaining technically credible and hands-on High engineering standards across testing, observability, security and release quality Strong communicator who can turn complex AI topics into clear decisions across technical and business teams LAST BUT NOT LEAST. FROM THE BOTTOM OF OUR HEARTS: No matter your origin, ethnicity, gender identity, religion or individual requirements; at DataGuard, all that counts is the person you are. As Guards and Guardettes, we are united not only by our dedication, but also by our shared belief in our purpose: Protect the people behind the data. Convince us with your personality and your skills – and together we will make great things happen. We are looking forward to meeting you! #LI-DNI Find more English Speaking Jobs in Germany on Arbeitnow

Was Sie bei JETPLAN bewegen JETPLAN entwickelt Software, mit der Elektrikerinnen und Elektriker Kundenprojekte mobil, digital und direkt vor Ort im Grundriss planen. Als AI Engineer (m/w/d) treiben Sie die KI-Entwicklung unserer Plattform voran, damit Änderungswünsche, Angebote und Installationspläne noch effizienter entstehen. Ihr Beitrag im Team Sie konzipieren, trainieren und implementieren KI-Modelle für unsere Planungssoftware. Sie integrieren intelligente Funktionen direkt in die mobilen und digitalen Arbeitsabläufe unserer Anwenderinnen und Anwender. Sie analysieren Daten aus Kundenprojekten, um Automatisierungspotenziale zu identifizieren. Sie arbeiten eng mit der Softwareentwicklung zusammen, um KI-Lösungen nahtlos in die Architektur einzubinden. Das bringen Sie mit Sie haben fundierte Erfahrung im Bereich Artificial Intelligence und Data Science sowie im Umgang mit gängigen Frameworks. Wenn Sie nicht alle Anforderungen zu hundert Prozent erfüllen, freuen wir uns dennoch auf Ihre Bewerbung. Ihre ersten Monate bei JETPLAN In den ersten Wochen machen Sie sich mit unserer Codebasis und den spezifischen Anforderungen des Handwerks vertraut. Sie setzen erste KI-gestützte Features um und bringen eigene Ideen für die Weiterentwicklung unserer Planungsplattform ein. Find Jobs in Germany on Arbeitnow

At 5Plus (part of Pentadoc Group), we build production-grade AI systems that solve real operational problems for our customers. As a Working Student - AI Engineering , you will help design, build, and deploy AI applications - from LLM-powered workflows (e.g., intelligent document processing) to agentic systems that integrate deeply into our customers' business processes. You'll work hands-on alongside experienced engineers and take on real responsibility from day one. This role is hybrid (remote + Würzburg) and fits flexibly around your studies. Your daily business Build and ship features for AI systems, from prototype to production Develop LLM-powered applications (incl. RAG, tool usage, validations) with a focus on reliability and cost-efficiency Contribute to agentic systems (e.g., planning, tool orchestration, multi-step workflows) and their integrations into customers' systems Set up evaluations – test datasets, metrics, benchmarks, and monitoring Help optimize systems across latency, cost, and quality Work with customers and the team to turn real-world problems into concrete technical solutions Your profile Enrolled in Computer Science, Data Science, AI, or a related field Solid Python skills First hands-on experience with LLMs or ML tooling - from university, side projects, or internships Curiosity about what makes LLM applications reliable, safe, and scalable Ability to work independently and take ownership of your tasks Some bonus points to score Experience with agentic architectures (planning, memory, multi-agent coordination) Experience with cloud infrastructure (AWS, Azure, etc.) Proficient in German (written and spoken) Own projects on GitHub, open-source contributions, or technical writing Some of your benefits at 5Plus Real ownership: Work on AI solutions that go live quickly Learn from a small, experienced team with fast decision-making Flexible working hours that fit your study schedule, and freedom to choose your workplace Learning budget and support for conferences Option to write your Bachelor's or Master's thesis with us To plan an initial conversation quickly, please make sure your application contains all relevant documentation and information, you'd like to share with us. We look forward to meeting you! Find more English Speaking Jobs in Germany on Arbeitnow

IMPORTANT Application note Please apply only through this job portal. Kindly do not send applications or recruitment messages by email or LinkedIn. Only applications submitted through the portal will be considered. Thank you. About AgentixLake AgentixLake GmbH is a Data and AI engineering consultancy based in Hamburg, Germany. We design, build and operate production-grade data platforms and AI systems in our customers' cloud accounts or on-premises environments. We are an AWS Services Partner and a Certified Services Partner in Anthropic's Claude Partner Network. Our commercial focus is DACH and the Gulf region, alongside selected international opportunities. Your role Design the path from a business requirement to a working data and AI system. You will work directly with our founders and engineers to turn discovery findings into architecture decisions, implementation plans and tested components. Our architecture and advisory work connects enterprise data platforms with generative AI, AI agents and business applications. Depending on the engagement, solutions run on AWS, Snowflake, Databricks, Google Cloud or customer-managed infrastructure. What you will do Translate business workflows, existing systems and data constraints into clear solution designs, with explicit assumptions and acceptance criteria. Design data flows connecting ingestion, storage, retrieval, model inference, APIs and downstream enterprise systems. Evaluate trade-offs across cloud services, open-source components and on-premises deployment, including security, reliability, cost and maintainability. Create architecture diagrams, technical decision records and delivery estimates; contribute to discovery workshops and design reviews. Validate important assumptions with Python, SQL, API integrations or infrastructure prototypes, then work with engineers on implementation. Specify access controls, evaluation, observability and human approval steps for enterprise RAG and agentic workflows. What you bring Current university enrollment in a relevant technical discipline, combined with substantial hands-on experience building software or data systems. Evidence that you have delivered systems used by others and can explain your own design choices, implementation and operational lessons. Strong Python and SQL skills, practical cloud experience and an understanding of APIs, data modeling and deployment. Applied understanding of large language models, retrieval-augmented generation and the data foundations these systems require. The judgement to own a defined workstream, surface risks early and communicate technical decisions clearly in English. Experience with Amazon Bedrock, Anthropic Claude, Terraform, Lakehouse architecture or technical discovery with business stakeholders is valuable. Depth in one relevant environment matters more than familiarity with every platform. What you can expect You will contribute to customer-facing architecture and implementation, work closely with the founders and receive substantive design and code review. Your part-time scope and schedule will be planned around your studies. How to apply Use the Apply button on this page to submit your CV, current study details, location and weekly availability. Include a short example of a system you helped design and build: the problem, your contribution and a trade-off you made. An anonymised explanation is welcome; please do not share confidential client material. We welcome applicants of all backgrounds. If the core responsibilities match your experience, we would like to hear from you. Stay connected Follow AgentixLake on LinkedIn for practical engineering insights, project updates and future opportunities. Following is optional and does not influence recruitment decisions. LinkedIn: https://www.linkedin.com/company/agentixlakegmbh/ Website: https://agentixlake.com/ Explore our production AI work with Claude: https://agentixlake.com/production-ai-with-claude Find more English Speaking Jobs in Germany on Arbeitnow

IMPORTANT Application note Please apply only through this job portal. Kindly do not send applications or recruitment messages by email or LinkedIn. Only applications submitted through the portal will be considered. Thank you. About AgentixLake AgentixLake GmbH is a Data and AI engineering consultancy based in Hamburg, Germany. We design, build and operate production-grade data platforms and AI systems in our customers' cloud accounts or on-premises environments. We are an AWS Services Partner and a Certified Services Partner in Anthropic's Claude Partner Network. Our commercial focus is DACH and the Gulf region, alongside selected international opportunities. Your role Build AI application components that are ready to be tested, deployed and maintained. You will take ownership of defined engineering work within our generative AI projects, collaborating with colleagues on implementation, review and operational quality. Our team builds enterprise AI solutions that connect models with useful data and tools. Your work may contribute to document intelligence, knowledge assistants, governed analytics or AI agents that support engineering and operational workflows. What you will do Develop Python services and integrations connecting language models to enterprise data, APIs and tools. Implement document ingestion, chunking, embeddings and retrieval, with source references that users can inspect. Build structured extraction and validation workflows for complex documents and downstream business systems. Implement defined agent steps, including tool calls, permission checks, error handling and human approval. Maintain evaluation cases and compare retrieval quality, answer usefulness, latency and cost as the application changes. Contribute automated tests, deployment configuration, logging and documentation through reviewed pull requests. What you bring Current university enrolment in computer science, AI, data science or a related technical discipline. Strong practical Python skills and evidence of software you have delivered for actual users, including responsibility for testing and deployment. Hands-on experience with an LLM application involving retrieval, tool use or structured outputs, and the ability to explain its limitations. Comfort working with APIs, JSON, Git and code review, and taking a defined task from an agreed requirement to a maintainable implementation. Clear English communication and an evidence-based approach to debugging and evaluating system behaviour. Experience with Amazon Bedrock, Anthropic Claude, FastAPI, Docker, vector databases or self-hosted models is valuable. We value sound implementation decisions more than the number of frameworks on your CV. What you can expect You will contribute to real delivery work with direct access to experienced engineers and the founders. Expect clear ownership, thoughtful code review and a part-time scope planned around your studies. How to apply Use the Apply button on this page to submit your CV, current study details, location and weekly availability. Explain one AI application you built, your individual contribution, how you evaluated it and what you improved after testing. An anonymised description is welcome; please do not share confidential client material. We welcome applicants of all backgrounds. If the core responsibilities match your experience, we would like to hear from you. Stay connected Follow AgentixLake on LinkedIn for practical engineering insights, project updates and future opportunities. Following is optional and does not influence recruitment decisions. LinkedIn: https://www.linkedin.com/company/agentixlakegmbh/ Website: https://agentixlake.com/ Explore our production AI work with Claude: https://agentixlake.com/production-ai-with-claude Find Jobs in Germany on Arbeitnow

WE'RE HIRING | SALES ASSOCIATES Join the Eyeconcept Team Eyeconcept is a luxury optical boutique specializing in exclusive designer brands, high-end eyewear, and the latest trends in fashion and style. We are looking for motivated, passionate, and fashion-forward individuals to join our growing team. If you have a passion for luxury fashion, enjoy working with people, and take pride in delivering exceptional customer service, we'd love to hear from you. Key Responsibilities Deliver an exceptional and personalized customer experience. Assist clients in selecting designer eyewear that complements their style and personality. Develop strong product knowledge across luxury eyewear brands. Build lasting relationships with clients and provide personalized recommendations. Meet sales targets and contribute to store performance. Maintain a professional, welcoming, and luxurious retail environment. What We're Looking For Strong communication and interpersonal skills. A passion for fashion, luxury brands, and eyewear. Confident, outgoing, and customer-focused personality. Motivated, ambitious, and sales-driven attitude. Professional appearance and positive attitude. Previous retail or sales experience is an asset. Flexible availability, including evenings, weekends, and holidays. Why Join Eyeconcept? Work with some of the world's most exclusive eyewear brands. Be part of a growing luxury retail business. Develop your sales and customer service skills. Opportunity for growth and career advancement. Work in a dynamic environment surrounded by fashion and luxury. Interested in joining our team? Send your resume to info@eyeconcept with the subject line Sales Associate Application ? Eyeconcept. We look forward to meeting you! Pay: From $18.00 per hour Expected hours: 20.0 ? 35.0 per week Work Location: In person

Are you passionate about providing exceptional customer service while working in a dynamic and fun environment? Great Canadian Liquor is seeking a Sales Associate to join our team. If you have a knack for sales, a keen eye for detail, and a love for the world of spirits, wines, and beers, this could be the perfect opportunity for you! Responsibilities: Welcome and greet customers with a warm and friendly demeanor. Assist customers in making informed decisions about their beverage choices. Provide outstanding product knowledge, including details about various wines, liquors, and beers. Operate the cash register accurately and efficiently, processing transactions with a smile. Keep the store shelves fully stocked and organized, ensuring a visually appealing display. Monitor and control inventory levels, reporting any discrepancies to management. Maintain a clean and tidy store environment, including the checkout area. Comply with all relevant laws and company policies regarding the sale of alcoholic beverages. Promote and contribute to a positive team environment. Requirements: Previous experience in sales, retail, or customer service preferred. Knowledge and passion for alcoholic beverages, including wines, spirits, and beers. Strong communication and interpersonal skills to engage customers effectively. Ability to work in a fast-paced environment and handle multiple tasks. Attention to detail and accuracy in cash handling. Must be at least 18 years old. Flexible schedule, including evenings, weekends, and holidays. Must be legally eligible to work in Alberta. Why Join Great Canadian Liquor? Be a part of a reputable liquor store known for its competitive prices and outstanding customer service. Work in a dynamic and friendly environment with a team that shares your passion for beverages. Opportunity for growth and advancement within the company. Enjoy employee discounts on our wide range of products. If you're excited about the world of liquors, wines, and beers and have a flair for engaging customers, we invite you to apply for the Sales Associate position at Great Canadian Liquor. Job Types: Part-time, Permanent Pay: From $15.50 per hour Benefits: On-site parking * Store discount Work Location: In person

Overview: We?re looking for an enthusiastic Retail Sales Associate who thrives in a customer-facing environment. You?ll serve as the face of the brand, helping customers, showcasing products, and ensuring a smooth, enjoyable shopping experience. LOCATION- (MULTIPLE LOCATIONS ACCROSS GTA) HAMILTON,TORONTO,MISSISSAUGA,KITCHENER Key Responsibilities: Greet customers and assist with product selection Perform product demonstrations Operate POS system and handle cash transactions Stay informed on promotions and sales Answer customer inquiries with professionalism, including over the phone Maintain clean, organized, and stocked sales floor Collaborate with teammates to meet sales goals Qualifications: Preferred but not required: 1 year of experience in retail, customer service, sales, or phone etiquette Familiarity with cash handling procedures Strong communication and basic math skills Bilingual candidates encouraged to apply Must be able to work flexible hours, including weekends and holidays Positive attitude and willingness to learn Ideal For: Someone who enjoys a dynamic retail setting, values customer interaction, and wants to grow their experience in sales and service. Job Type: Full-time Pay: $2,700.00-$4,798.22 per month Experience: Retail sales: 1 year (preferred) Phone etiquette: 1 year (preferred) Sales: 1 year (preferred) Customer service: 1 year (preferred) Language: English (required) Willingness to travel: 25% (preferred) Work Location: In person

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We're always improving on the tools and technology that empower content developers worldwide. What You'll Do As foundation models move from answering questions to acting over long horizons, memory becomes a central requirement. Systems must decide what is worth keeping and improve from experience. Large context windows and retrieval systems are not enough. You will work with researchers on projects across the company that require memory in different modalities to define general solutions that enable models to represent experience, decide what they keep and what they discard, and to efficiently store, retrieve and exploit memory. In this role, you will Design new memory architectures that work across problems, modalities and products Define new ways to measure and evaluate memory performance Help create and deliver production-ready, scalable and high-quality learning models and associated algorithms Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap What we're looking for PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience Experience creating machine learning algorithms for vision and/or language problems and deploying them as production-level systems Expert, hands-on knowledge of: Foundational models and vision and/or language, incl. local deployment and model post-training of open weights models Memory, state, or long-horizon behaviour in foundation models: your experience may come from language agents and long-context methods, reinforcement learning under partial observability, world models, or sequence modelling Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch) Experience with working collaboratively with other developers, following a flexible and agile approach EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games​ ​is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here . Find Jobs in United Kingdom on Arbeitnow

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We're always improving on the tools and technology that empower content developers worldwide. What You'll Do You will work with our team of applied research engineers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots (trained gameplay agents, intelligent NPCs, companions, world modeling), as well as automation of a number key areas (including moderation, security, and QA testing). You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem. In this role, you will Create and deliver production-ready, scalable and high-quality machine learning models and associated algorithms that can make actions in game environments Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones What we're looking for PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience Experience creating / applying machine learning algorithms for action modeling of bots behavior, vision-based or language-instructed, and deploying them as production-level systems in-game Expert, hands-on knowledge of: Deep learning, incl. but not limited to applications in the gaming industry Foundational models and vision and/or language, especially vision-language-action models, reinforcement learning agents, incl. local deployment and model post-training of open weights models Reinforcement learning, incl. experience with agentic systems, reward design, policy optimisation, evaluation, and building scalable training environments for agents Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch) Experience with working collaboratively with other developers, following a flexible/agile/lean approach EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games​ ​is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here . Find Jobs in United Kingdom on Arbeitnow

Education: Secondary (high) school graduation certificate. Tasks: Requisition food and kitchen supplies. Supervise and co-ordinate activities of staff who prepare and portion food. Train staff in job duties, sanitation and safety procedures. Estimate ingredient and supplies required for meal preparation . Ensure that food and service meet quality control standards. Address customers' complaints or concerns. Maintain records of stock, repairs, sales and wastage. Prepare food order summaries for chef. Supervise and check assembly of trays. Establish work schedules. Supervision: 3-4 people. Experience: 1 to less than 7 months.