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At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you. The team NiCE Labs (nice.com/nice-labs) is where NiCE explores what's next in AI for customer experience. This role is on AI Innovation, the Labs pillar that builds and validates new AI capabilities through prototypes, so the company can make better product decisions, faster. We're a deliberately small, senior team of builders inside NiCE Cognigy, the AI agent platform. We operate in fast iteration cycles: spot an emerging capability, build a working prototype, validate it against real metrics (quality, latency, cost, user impact), and then decide: kill it, iterate, publish it, or hand it off to a product team. Some of our work is public, like the open-sourced Cognigy Platform MCP server; most of it shapes the product roadmap from the inside. We hire for product mindset and builder mentality. Everyone on the team takes ideas from zero to working software, shows them to real users, and argues from evidence. So, what's the role all about? You'll work at the intersection of frontier AI capabilities and a real enterprise product. The field moves faster than any roadmap can track. Your job is to close that gap: turn new models, protocols, and agent patterns into working systems, prove what matters in realistic scenarios, and produce the insights and reference implementations that let product and engineering teams move with confidence. You'll need to be comfortable with ambiguity, at home where best practices don't exist yet, and quick to move on when the results point elsewhere. How will you make an impact? Build agentic systems and full-stack prototypes end-to-end, shipping a first version in days and learning from real use Track the frontier (new models, agent patterns, protocols like MCP) and turn the promising ones into working prototypes rather than slideware Design experiments that show whether a concept holds up, measured in quality, latency, cost, and user impact Work directly with internal users, product managers, and customers to validate concepts early and iterate quickly Turn validated prototypes into reference implementations and write-ups that product teams can build on, then hand off cleanly and move to the next bet Give product and platform teams concrete feedback on where AI capabilities shine and where they fall short Move between initiatives as priorities shift. What you learn on one bet compounds into the next Have you got what it takes? Have 4+ years building full-stack software, including things you started from nothing. We weigh what you've shipped more than years on a CV Have shipped LLM-powered systems to production:features real users depended on, not demos or notebooks Understand AI agents below the framework level: message arrays, tool calling, context management, prompt caching. You could build an agent loop from scratch and explain why it works Use AI-assisted development (Claude Code, Codex, Cursor, or similar) as your default way of working, and it makes you measurably faster, not just busier Are full-stackin practice: comfortable taking a prototype from API to demo UI on your own (our stack centers on TypeScript/Node.js and React) Do your best work when the ground is still moving. New territory energises you more than a settled plan Think in user problems first, solutions second You will have an advantage if you also have: A strong eye for UX/UI: you can make a prototype feel like a product, and you notice when one lacks that eye Experience with voice and real-time AI: streaming, speech-to-text/text-to-speech, voice-to-voice models Open-source work on agent tooling (MCP servers, harnesses, evals) Experience designing evaluations for AI systems Background in conversational AI or customer-experience products Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 11563 Reporting into: Manager, Engineering, AI Innovation Role Type: Individual Contributor #LI Hybrid About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Find more English Speaking Jobs in Germany on Arbeitnow

About Cosuno Construction is a €14 trillion industry that still runs on email, spreadsheets and scanned PDFs. Cosuno is replacing that with AI. General contractors tender their projects on our platform to more than 250,000 subcontractors, and our agentic AI matches the right firms, flags anomalies in bids and benchmarks every price against 6.5 million data points from over €136 billion in processed bid volume. Every tender makes the AI smarter. The results are measurable: general contractors cut costs by around 6 %, subcontractors win 22 % more volume, and every new general contractor customer this year has chosen our AI product. Founded in Berlin in 2019 and backed by Cherry Ventures and Spark Capital with over €40 million raised, we are now scaling our Engineering, AI and Product teams with that capital. That is where you come in. Your mission As our Senior Talent Acquisition Manager – Tech, you make sure every seat in Engineering and Product goes to someone exceptional. You report to Maximilian Seifert (CTO) and work closely with Carmen Pölking (Head of Product). Engineers trust you to tell them honestly what a role at Cosuno looks like, and our tech leads trust you to bring them people who raise the bar. What you will achieve in your first year You hire 25 people across Software Engineering, Product Management and Product Design, owning every process from intake to signed contract. You build warm pipelines of senior engineers before roles open, so we hire through sourcing and referrals instead of agencies. Together with our tech leads, you design structured, scorecard-based interview loops, from technical screening to final interview. You put Cosuno on the map in the Berlin and European tech community, through referrals, meetups and content with our engineers. You advise on levelling, compensation and market trends, so our offers win. You make hiring measurable with a monthly dashboard on time-to-hire, conversion and source of hire. What the job really looks like The best engineers rarely apply. Most of your hires come from your own outreach, so a large part of your week is sourcing and candidate conversations. You compete with big tech and AI companies for the same people, and you need a compelling story to win them. You talk shop with engineers. You do not need to code, but you understand what a TypeScript full-stack role or an ML engineering role really involves. There is no large TA team and no finished playbook. You build the processes while you hire. You push back when a profile, a process or a decision is not right. We want you to. What you bring At least 4 years of recruiting experience, of which at least 2 years in-house at a high-growth tech company, hiring software engineers. A track record you can prove in numbers: hires made, time-to-hire and offer acceptance rate. You steer your pipeline by data, not gut feeling. Technical fluency: you understand modern tech stacks and roles (full-stack, backend, AI/ML, platform) well enough to assess candidates and challenge hiring managers. Proven technical sourcing skills across LinkedIn, GitHub and tech communities, including Boolean and X-ray searches. Structured assessment: you have built interview loops with engineering teams and keep them fair, fast and consistent. Strong closing skills: you win engineers against competing offers, including from big tech and AI companies. Fluent English, written and spoken. Nice to have German language skills. Experience hiring AI/ML engineers. Experience with cross-border hiring in Europe, including Employer of Record set-ups. Hands-on experience with Ashby, LinkedIn Recruiter, Clay or Lusha. Curiosity about construction or other traditional industries. What we offer Salary: €70,000–90,000 gross base salary per year, depending on experience, plus a variable component of 25 % of your base salary at 100 % target achievement, tied to hires who successfully complete their probation period. AI at the core: you work with Ashby, LinkedIn Recruiter and you have a budget to test new tools. Learning budget for your professional development. Time off: 25 vacation days per year, rising by one day for each year with Cosuno up to a maximum of 28 days. On top of that, 24 and 31 December are always off. Flexibility: fully remote within Germany or from our office in Berlin-Kreuzberg, with flexible hours. Top equipment: a new MacBook Air. A great team: open and international, with regular off-sites and team events. Stability: permanent contract in a well-funded company. Our hiring process (max. 4 weeks) Intro call with Vivien (People Lead), 30 minutes, video. Live Case Study with one of our Engineers, 60 minutes. Career deep-dive with Maximilian Seifert (CTO) and Carmen Pölking (Head of Product), followed by a conversation about our culture and values with Vivien Littmann (People Lead), 60 minutes in total. References: with your consent only, we speak with 1 or 2 hiring managers you have recruited for in previous roles. Offer. From your first call to our decision, the process takes no longer than 4 weeks. Your contact: Vivien Littmann, People Lead We welcome applications from everyone who brings the skills for this role, regardless of background or circumstances. If you need any adjustments during the process, just let us know. Compensation: €70K – €90K • Plus a variable component of 25 % of your base salary at 100 % target achievement, tied to hires who successfully complete their probation period. • €70K – €90K • Plus a variable component of 25 % of your base salary at 100 % target achievement, tied to hires who successfully complete their probation period. Find Jobs in Germany on Arbeitnow

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world's leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We're also transforming business travel with a new corporate travel solution, KAYAK for Business. As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is at our core and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world. KAYAK is looking for a Data Engineer to build the trusted data foundation behind machine learning across the company. You'll partner with data scientists to understand their modeling needs and what the available data can (and can't) support. You'll transform large-scale raw data into production-ready datasets and build the scalable pipelines that make them dependable and reusable. Working across Data Science, Data Engineering, and Data Platform, you'll help address data gaps and bring new machine-learning use cases into production. If you're excited to shape how teams across KAYAK use data to build and scale machine learning, we'd love to hear from you. This role will be required to work from our Berlin office 3 days per week. In this role, you will: Partner with the Data Science teams and help translate modeling needs into dataset requirements, then collaborate with Data Engineering and Data Platform to extend foundational pipelines into ML-ready datasets. Design scalable and efficient dataset workflows and ensure pipeline reliability through validation, monitoring, and alerting; diagnose and resolve issues. Ship production-ready data solutions that enable ML applications and deliver real-world impact on user experience and key business metrics. Identify gaps and opportunities, contributing to technical decisions and roadmap priorities that strengthen the data foundation for current and future ML use cases. Collaborate across Data Science, Engineering, and Data Platform, communicating technical decisions, findings, and trade-offs clearly and concisely to technical and non-technical audiences. Please apply if you have: Strong technical foundations in data engineering, software engineering, and systems design, backed by a track record of building and operating reliable, large-scale data pipelines. Demonstrated capability matters more than academic credentials. Hands-on experience developing production data pipelines, with the ability to clearly explain the problems addressed, your specific contributions, and the resulting impact. Ownership, sound judgment, and systems thinking, with the ability to navigate technical, reliability, cost, and risk trade-offs while working independently and recognizing when to seek guidance. Fluency with AI-assisted workflows, leveraging modern tools to improve productivity and quality while critically evaluating their outputs and limitations. Curiosity, humility, and a collaborative mindset, with a commitment to continuous learning, sharing knowledge, and improving together. Bonus qualifications Hands-on experience with technologies relevant to KAYAK's stack, such as Kafka, Flink, Iceberg, Trino, AWS, Kubernetes, Airflow, Python, SQL, and schema-based data contracts. Experience with feature stores or feature pipelines. Familiarity with Agile ways of working, such as sprint planning and team ceremonies. Benefits and Perks: Work from (almost) anywhere for up to 20 days per year Focus on mental health and well-being: Company-paid therapy sessions through SpringHealth Company-paid subscription to HeadSpace Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!) No meeting Fridays Paid parental leave Paid volunteer time Focus on your career growth: Development Dollars Leadership development Access to thousands of on-demand e-learnings Travel Discounts Employee Resource Groups 6 weeks paid vacation + a day off for your birthday Free lunch 2 days per week Pension plan contributions Public transportation subsidies Bike leasing program Monthly social events, Thursday happy hours, sports teams An awesome office in Friedrichshain, Berlin Inclusion At KAYAK, we want everyone to have the space to grow, share ideas and do great work. That's why we're focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here. Need any adjustments for the interview, application or on the job? No problem - just give us a heads-up. We've got you. #LI-AS1 Find more English Speaking Jobs in Germany on Arbeitnow

Thorit GmbH · Böblingen, Germany · Hybrid, mostly on-site · Working student (Werkstudent), 15 to 20 hours per week · Start as early as possible About the Role You'll build the agent stack an AI consultancy runs on. We use several LLMs across many internal tools, and today each one is wired up differently. You'll turn that into one LangChain foundation: one model-agnostic layer, shared building blocks and proper tracing, then move our internal tools onto it. Real users, real production, from your first month. What You'll Do Map every internal tool that uses an LLM: which model, how it is called, what data flows through it Build our internal LangChain and LangGraph reference stack with a model-agnostic LLM layer, tool calling, MCP and structured outputs Migrate existing internal tools and agents onto that shared stack Compare LLMs with evals and tracing and help decide which model fits which use case Create templates and docs so colleagues build new tools the same way, including apps that started in Lovable Connect the stack to our systems through APIs, webhooks and a shared data model What You Bring Must-haves Enrolled in a computer science, software engineering, AI, data science or business informatics program At least one project you built yourself with LangChain or LangGraph (show us the code) Hands-on experience with more than one LLM or provider and an idea of their trade-offs Solid Python, plus first experience with REST APIs and SQL Very good English; German is a plus for working with some internal users Living close enough to Böblingen to work from our office at least one day a week Nice-to-haves Experience with LangSmith or other LLM tracing and evals, RAG and vector stores, or MCP TypeScript and experience with Lovable, Supabase or Postgres Interest in writing your thesis on an applied LLM or agent topic Your Team You'll report to the Team Lead AI Engineering Germany, joining the AI Engineering Germany team within Thorit's AI & Engineering Practice. Senior engineers set the architecture with you and review your code, and you'll work directly with colleagues across the company who use the tools you build. Tech Stack Python, LangChain, LangGraph, LangSmith, several LLM providers (Claude and others), MCP, vector stores, Supabase and Postgres, TypeScript, Lovable, Git, HubSpot APIs, Jira, Confluence, Microsoft 365. What We Offer Real ownership: you build the stack our internal tools run on, not side tasks, and your work goes live Hours that fit your studies: flexible working hours planned around lectures and exam phases, more hours in semester breaks if you want Paid vacation pro rata, based on 31 days for a full-time position (above the statutory minimum) Access to several frontier LLMs and senior engineers who review your code MacBook and a modern office in Böblingen with free parking, good public transport and company e-scooters Lunch subsidy of €5 tax-free per working day Free snacks, fruit, coffee and drinks , a dog-friendly office and Corporate Benefits discounts from several hundred brands Team events , offsites, our Christmas party and Lunch & Learns Thesis and next step: the option to write your thesis with us, and a clear path to a Junior AI Engineer role after graduation About Thorit Thorit is the AI & CRM consultancy for the agent-native enterprise. As a Diamond HubSpot Partner we work with enterprise clients in DACH and the Nordics, building the agent layer on top of HubSpot and the systems around it, then operating it with them. Agentic means software that acts on goals instead of waiting for clicks. We don't just sell that, we run on it, and that is exactly where you come in. Find more English Speaking Jobs in Germany on Arbeitnow

Location : Come and join us in Berlin! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are looking for an experienced Engineering Manager to lead two high-performing teams of software engineers who are focused on scaling an exciting new product vertical. We are building a complex, intelligent system to modernize the traditional taxi industry. Your goal is to lead the team to transform offline fleets into digital businesses. This critical role ensures team's alignment with product and business strategy, while driving efficient delivery of features. You will foster an environment of technical excellence, psychological safety, and continuous individual development, ultimately maximizing business impact across all Freenow markets through innovation. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate colleagues who strive for excellence and enjoy their work. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: Team Performance & Delivery: Within the frame of quarterly goals and company strategy, lead the team in delivering high-quality, scalable software solutions. Focus on continuously improving engineering processes to ensure predictable, timely delivery while managing team capacity and focus. You inspire innovation to disrupt incumbents. People Development: Provide coaching, mentoring, and continuous feedback to team members. Identify development areas and growth opportunities to support individual career paths and enhance team cohesion in building innovative customer and driver support solutions. You get to build a team from the ground up. Technical Ownership: In collaboration with Staff Engineers and Principals, lead technical decision-making for the support systems. Ensure high standards of quality, reliability, maintainability, and observability in all solutions, particularly the large-scale systems handling customer and driver interactions. Strategic Execution: Translate product and tech strategy into actionable team plans. Align team activities with business priorities, ensuring efficient execution and adapting plans as needed. Stakeholder Collaboration: Act as the main engineering counterpart to Product Managers and Designers. Build strong relationships to ensure transparency, collaborate on product decisions where needed, and jointly maximize business impact by providing world-class support technology. Culture & Team Building: Foster a team culture based on trust, psychological safety, collaboration, and feedback. Ensure diverse perspectives are heard, encourage curiosity, and build a resilient and motivated team. Operational Excellence & Incident Management: Own incident response processes for support technology. Ensure alerting and monitoring are in place, bugs are addressed quickly, and technical debt is managed proactively to support long-term sustainability and reliability of the critical customer and driver support infrastructure. Our Techstack : Java | Kotlin | AWS | Docker | Git | Kafka | ElasticSearch & more TO BE SUCCESSFUL IN THIS ROLE: Level of Education: Bachelor's degree (preferably in Computer Science or a related technical field). Level of relevant working experience: Minimum 6 years in software engineering roles, and at least 2 years in a leadership or management position. Deep understanding of the software development lifecycle and best practices. Experience with scaling zero to one products Strong leadership, coaching, and people development skills. Delivery/project management and agile methodology fluency. Excellent communication and stakeholder management skills. Growth mindset, data-driven decision-making, and bias for action. BENEFITS & PERKS IN A NUTSHELL: Flexible working arrangements LinkedIn Learning Sabbatical & special leave policies WeRoad partnership Birthday, 24th + 31st December off Short term EU work policy Mobility Credit Health Insurance Employee assistance program DIVERSITY, EQUITY & INCLUSION: FREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your true self to work . ABOUT FREENOW: We are Freenow, the European taxi app with the broadest multi-mobility offering, available in 9 markets and over 180 cities. Our app gives millions of passengers the freedom to move with a wide choice of services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds and public transport. Headquartered in Hamburg and led by our CEO Thomas Zimmermann, we are on a mission to make urban mobility more efficient, sustainable and inclusive. Since July 2025 we have been part of Lyft, a global mobility platform connecting riders and drivers for billions of rides across North America and Europe. Together we are building a more caring and connected world, creating new opportunities for innovation, growth and impact. Find more English Speaking Jobs in Germany on Arbeitnow

About Sonio Each year, 140M children are born. Birth defects affect 1 in 33 births in developed countries, and in 50% of cases, they are not detected during prenatal examinations. Prenatal medicine is particularly complex, and the scans impose heavy responsibilities on healthcare professionals. They can also be a source of stress for future parents. Resulting from 5 years of collaboration between world-renowned experts from Necker Hospital and Ecole Polytechnique, Sonio uses artificial intelligence to improve prenatal screening and diagnosis. Based on patented algorithms and a proprietary expert database, Sonio aims to become the reference tool to help practitioners improve screening, reduce diagnostic errors, and optimize pregnant women's medical path. Sonio's mission is to improve women's and children's health by promoting access and quality of care through technological innovation, medical expertise, and collective intelligence. About the role: Build real software, with real impact. Join our tech team for an internship in software engineering and AI-driven tooling, and help shape the tools that support prenatal care. You will work on internal tools that make setting up realistic test and demo environments fast and easy, directly supporting development and delivery. Your missions: DICOM SR simulator: study real DICOM Structured Reports (SR) from different ultrasound manufacturers and create realistic SRs for testing Full simulator: rebuild our internal ultrasound machine simulator from scratch, so that various scenarios can easily be generated and experimented with AI-driven simulation tool: integrate the simulator into a broader AI-piloted tool that simulates real user interactions with the application, for demos, test preparation, or configuration experiments About the profile : Sonio is a mission-driven company, so a genuine interest in our mission (improving fetal and maternal health through AI) is essential. Beyond that, we're looking for someone who: Is a final-year student in an engineering school or a Master's in Computer Science, looking for a 6-month end-of-studies internship Is comfortable with JavaScript and TypeScript and has some knowledge of Playwright Knows the basics of APIs, containers and CI pipelines Is curious about LLM-based tooling (agents, tool calling, MCP) Location: Paris Start Date: ASAP for 6 months We move fast and aspire to be transparent over the process - our objective is that the process from the first chat to an offer is no longer than a month. We also aspire to give an answer to every application in a week - if you have not heard from us, please follow up at ----- Find Jobs in France on Arbeitnow

The Seventh-Day Adventist Church (British Colombia Conference) is currently looking for one (1) Secondary School Teacher at our Okanagan Christian School in Kelowna, British Colombia. This position is a full-time permanent position and in the English language. This position focuses on math and science as primary subjects. Job Duties: -Prepare subject material for presentation to students based on an approved curriculum -Use a systematic plan of lectures, discussions, audio-visual presentation, and other methods to teach students -Prepare, administer, and correct tests -Evaluate progress of students and determine individual needs and discuss results with parents and school administration -Participation in staff meetings, educational conferences and teacher training workshops where required -Be a role model and support the mission of a faith-based school system and collaborate with a dynamic team of faith-based educators and administrators Employment Requirements: -Degree in education -Candidate must be eligible for NAD and provincial certification -Have at least three (3) to five (5) years of direct experience as a secondary school teacher -Have direct experience in delivering a faith-based curriculum including bible study Wage and hours -$45.00 an hour for 30-40 hours per week Work Location 1035 Hollywood Road South, Kelowna, British Columbia V1X 4N3 How to apply Email: lmuse@bcadventist.ca (Leidamae Muse - Superintendent of Education) Phone: (604) 853-5451 (BC Conference Main Office) Apply via the in-application apply options This employer promotes equal employment opportunities for all job applicants, including those self-identifying as a member of these groups: Indigenous people, Persons with disabilities, Newcomers to Canada, Older workers, Veterans, Visible minorities, Youth Pay: $45.00 per hour Expected hours: 30.0 ? 40.0 per week Work Location: In person

The Seventh-Day Adventist Church (British Colombia Conference) is currently looking for one (1) Secondary School Teacher at our Peace Christian School in Chetwynd, British Colombia. This position is a full-time permanent position and in the English language. This position focuses on math and physical education as primary subjects. Job Duties: -Prepare subject material for presentation to students based on an approved curriculum -Use a systematic plan of lectures, discussions, audio-visual presentation, and other methods to teach students -Prepare, administer, and correct tests -Evaluate progress of students and determine individual needs and discuss results with parents and school administration -Participation in staff meetings, educational conferences and teacher training workshops where required -Be a role model and support the mission of a faith-based school system and collaborate with a dynamic team of faith-based educators and administrators Employment Requirements: -Degree in education -Candidate must be eligible for NAD and provincial certification -Have at least three (3) to five (5) years of direct experience as a secondary school teacher -Have direct experience in delivering a faith-based curriculum including bible study Wage and hours -$45.00 an hour for 30-40 hours per week Work Location 6189 Dokkie School Road, Chetwynd, BC V0C 1J0 How to apply Email: lmuse@bcadventist.ca (Leidamae Muse - Superintendent of Education) Phone: (604) 853-5451 (BC Conference Main Office) Apply via the in-application apply options This employer promotes equal employment opportunities for all job applicants, including those self-identifying as a member of these groups: Indigenous people, Persons with disabilities, Newcomers to Canada, Older workers, Veterans, Visible minorities, Youth Pay: $45.00 per hour Expected hours: 30.0 ? 40.0 per week Work Location: In person

Vancouver Police DepartmentCrisis Response Worker Competition #26154-20261027 Unit Victim Services Unit, Diversity, Community & Indigenous Relations Section Status Auxiliary / Casual - On Call Hours of Work Evenings / Weekends / Stat Holidays Salary Pay Grade 19 - $36.57 per hour with 12% in lieu of benefits Competition End Date Tuesday, November 10, 2026 Responsible for providing direct support services to crime and trauma victims and witnesses.Essential Duties Attends the scene of police crisis call-outs such as crimes, serious accidents, and sudden death; provides emotional support to distressed victims, witnesses, and family members; assists police with next-of-kin notifications in cases of sudden deaths; provides information regarding agencies available to victims; as appropriate, contacts family members, arranges for emergency transportation; liaises with other agencies on scene to provide practical support and assistance as needed Makes referrals to appropriate agencies for services such as counselling, financial assistance, and legal advice Documents all services provided to clients and performs related administrative duties Attends staff meetings and any mandatory training Contacts supervisor for consultations for major police incidents Other related duties and responsibilities as assignedKnowledge, Skills, and Abilities Considerable knowledge of the rules and regulations governing program activities Considerable knowledge of the practices and techniques of crisis intervention and follow-up support as related to the work performed Sound knowledge of available community resources Working knowledge of court and police procedures as they relate to the work performed Ability to effectively communicate with victims and witnesses of crime and trauma, and to provide emotional support, information and referrals, under stressful circumstances Ability to prepare records related to the work Ability to establish and maintain effective working relationships with a variety of internal and external contactsExperienceRequired Minimum two years? direct crisis intervention experience, such as victim services support, mental health intervention, crisis centre work, etc. or an equivalent combination of training and experiencePreferred Direct experience in Victim Services as a paid Victim Services workerEducationRequired High school diploma, supplemented by additional courses in the field of social science, plus considerable related experiencePreferred Degree in the field of social sciences such as psychology or social work Victim Services trainingOther Requirements Valid Class 5 BC driver?s licence, with a satisfactory driver?s abstract Ability to arrive at 2120 Cambie Street within 30 minutes of being requested Ability to cover various shifts, as the Unit operates 24/7 Pass and maintain an enhanced security clearance while employed with the Vancouver Police Department, which will be renewed every five years Ability to work in an environment with an Accredited Facility Dog present Access to a cell phone for deployment purposesSelection ProcessShortlisted applicants will be required to pass a written exam prior to moving on to the interview stage.Note This position falls under the jurisdiction of Teamsters Local 31.Applicants should submit a resume via email to vpd.civilian.jobs@vpd.ca by 4:30 p.m. on the closing date. The competition number must be indicated in the subject line in the email.

Education: Secondary (high) school graduation certificate. Tasks: Assess the current status of a given area for sustainable forest management. Conduct forest inventory cruises, surveys and field measurement. Conduct ongoing inspections to ensure the development of good quality forest crops. Supervise technical functions in silvicultural operation. Supervise the construction of access routes and forest roads. Use photogrammetric and mapping techniques. Monitor activities of logging companies and contractors. Develop and maintain computer databases. Transportation/travel information: Public transportation is available. Work conditions and physical capabilities: Work under pressure. Attention to detail. Personal suitability: Organized. Team player. Employment terms options: Early morning. Evening. Experience: 2 years to less than 3 years. Employment terms options: Morning. Day. Overtime available. Green job: Involves duties and responsibilities that lead to positive environmental outcomes. Financial benefits: Group insurance benefits. Support for youths: Offers on-the-job training tailored to youth.

Description Machine Learning Maestro: You don?t just work with data - you decode it, predict the future with it, and turn it into action. Your models don?t just sit on a shelf - they shape strategy, optimize efficiency, and fuel company growth. You thrive on uncovering hidden patterns, validating hypotheses, and embedding machine learning models into real-world AI applications. If that sounds like you - read on. AlgaeCal is looking for a top-tier Associate Data Scientist who can turn raw information into strategies that drive measurable results. This job will give you ALL the feels: At AlgaeCal, we?re driven by a single idea. To end the fear of bone loss. In the United States, an estimated 54 million people have low bone density. The good news? AlgaeCal has the world?s only clinically-backed natural solution to this problem. We give hope to everyone worried about bone loss. If that excites you, you?ll find no better place to continue your career than at AlgaeCal. This job might be for you if you?ve got? Experience as a Data Scientist (or a similar role) and can back it up with a resume that shows real results. You?ve built predictive models, optimized AI applications, and refined data architectures that have had a measurable impact. You don?t just analyze numbers?you translate data into actionable insights that drive business decisions. Serious coding skills in Python or R . You know how to build and refine machine learning models that actually work. You?ve used statistical modeling and data science tools to solve complex problems and unlock growth opportunities. Expertise in SQL and relational databases. Writing efficient queries? Optimizing data structures? Your resume is packed with quantifiable examples that?ll make us drool with desire! You know how to work with large datasets, ensuring data is organized, accessible, and primed for analysis. A deep understanding of machine learning algorithms. Whether it?s regression, clustering, or neural networks, you know how to choose the right approach for the right challenge. You don?t just apply models?you understand how they work under the hood. Hands-on experience with data warehouses . BigQuery or similar? Check. You understand how to design, maintain, and optimize scalable data storage solutions that support robust analytics. A knack for standardizing and improving data models. You?ve worked with data at scale, refining schemas and improving architectures to ensure efficiency, accuracy, and usability across the organization. A laser-sharp eye for detail. You?re the kind of person who spots trends, outliers, and opportunities that others miss. Your ability to catch anomalies helps ensure our models and analytics are always on point. An entrepreneurial approach to data. You don?t just crunch numbers?you think strategically about how data can be leveraged to create business value. You?re proactive in identifying new ways AI and machine learning can drive efficiency, sales, and profitability. Industry know-how that adds value. If you?ve got experience in consumer packaged goods, e-commerce, or the health/supplement industry, that?s a huge plus. You understand how data can shape customer experience, optimize operations, and maximize ROI. Now, time to be honest: is this really you? If you?re nodding your head and feeling that flutter of excitement, then we can?t wait to meet you. Other Qualities You?ll Need At AlgaeCal we?re going to insist that you have these 3 qualities: You?re humble??you put the team and others? needs ahead of your own</

Adecco is currently hiring a Clinical Data Manager for a 1-year opportunity with a leading medical device and healthcare technology organization in Ottawa, ON . This role is ideal for professionals with experience in clinical data management, clinical trials, electronic data capture (EDC), clinical research, CTMS, GCP compliance, and clinical database management. As a Clinical Data Manager, you will support all phases of clinical studies, from study start-up through close-out, ensuring clinical data is collected, validated, and maintained in compliance with regulatory requirements and industry standards. You will play a critical role in delivering accurate, high-quality databases that support statistical analysis and clinical decision-making. Pay Rate: $96000-$110000/year Location: Ottawa, ON | Travel up to 5% within Canada and the United States Job type: Temporary 1 year | Full-time Vacancy Status: This posting is for an existing vacancy . Here's why you should apply: Paid weekly accurate and on time Strong health and safety programs Medical and dental benefits once qualified Free training programs New and quicker onboarding process Responsibilities: Clinical Data Management Design, develop, and maintain Electronic Data Capture (EDC) systems and clinical study databases. Create and maintain case report forms (CRFs), validation rules, and edit checks. Perform data review, cleaning, and validation activities to ensure accuracy, completeness, and consistency. Investigate data discrepancies, missing information, and query resolutions. Clinical Trial Support Support data management activities throughout study start-up, conduct, and closeout. Maintain study documentation, data management files, and archival records. Generate reports and data review tools for clinical monitors and study teams. Collaborate with clinical operations, biostatistics, and project teams to support study objectives. Compliance & Quality Ensure compliance with study protocols, GCP guidelines, regulatory requirements, and company procedures. Support implementation and maintenance of FDA 21 CFR Part 11 compliant systems. Participate in quality control and quality assurance activities. Assist with corrective actions and continuous process improvements. Training & Project Support Train investigative sites and study team members on data management processes and systems. Participate in investigator meetings and support study-related training activities. Support EDC and CTMS implementation, optimization, and user adoption initiatives. Contribute to project planning, timelines, and study deliverables. Qualifications and Skills: Bachelor's degree in health sciences, Clinical Research, Biological Sciences, Medical Technology, or a related field. Minimum 6 years of experience in Clinical Data Management, Clinical Research, Clinical Trials, EDC, or CTMS environments. Strong understanding of Clinical Electronic Data Capture (EDC) and Clinical Trial Management Systems (CTMS). Knowledge of ICH-GCP, clinical trial regulations, and FDA 21 CFR Part 11 requirements. Experience designing databases, CRFs, validation checks, and data review processes. Strong project coordinat