Trabajos walking en Newcastle Upon TyneCrear alertas

Independent Living Support Worker (BSL Qualified) Location: Newcastle-Upon-Tyne Salary: £30,179 Our client is a prominent regional charity and they are seeking qualified British Sign Language (BSL) Support Workers to join a new independent living provision in Newcastle upon Tyne. This is a unique opportunity to support two young men transitioning into their first home after college. The role involves assisting with all aspects of daily living, community engagement, and personal care. One resident requires support with nocturnal seizure activity and positive behaviour management, while the other has specific dysphagia needs (IDDSI Level 6). Requirements: * BSL Level 1 qualification or above is essential. * Experience with autism and complex needs is highly desirable. * A positive, flexible, and person-centred approach. * Ability to work effectively within a multi-disciplinary team. * Right to work in the UK (no sponsorship available). Shift Patterns: The service offers flexibility regarding permanent shifts. Candidates may choose to work primarily days or primarily nights; however, a high degree of flexibility is required to cover the alternative shift pattern during periods of staff sickness or emergency leave to ensure the safety and continuity of care for the residents. Benefits include a comprehensive training programme, loyalty awards, and an extensive wellbeing package including occupational health and physio services. This is a permanent contract based in a residential area within walking distance of the city centre. Greys is a Specialist Recruitment Company who works with some of the UK’s leading organisations within the Healthcare industry. If you are an Occupational Therapist, Physiotherapist, Case Manager within Rehabilitation looking for Permanent, Contract, Ad-Hoc or Sessional work please contact us.

Our client is a global market leader within electrical products for Commercial, Residential and Industrial Buildings, the range is huge and includes Commercial Distribution, Lighting Connection & Controls, Wiring Accessories and Building Automation. This is a Field/Home based role covering the North East to Carlisle, your customer base is very loyal and is a mix of Electrical Wholesalers and M&E Contractors, if you have sold to Electrical Wholesalers or M&E Contractors and have field sales experience and would like to know more then read on!! The Role: • Selling the company's manufactured and distribution range of specialist electrical products, the range is vast and includes everything from Commercial Distribution and Lighting Controls through to Wiring Accessories and Building Automation products., • Your role is field/home based covering the North East to Carlisle, postcodes are NE, TS, SR, YO, DL and CA, • The customer base is huge and will be split between Electrical Wholesalers (big and small) and Mechanical & Electrical Contractors (again both big and small)., • With a hugely successful area you will walking into a very busy market and customer base., • On patch you have some excellent regular spending accounts, managing circa 30 wholesalers and 35/40 installers., • Fantastic name in the market and customers want to deal with you., • Internal telesales support team dealing with smaller orders, • Leads provided, • Brilliant Database, • Genuine market leader, • Known for the best quality products, • Offices worldwide, • Multi Billion Euro turn over, • Worked for Manufacturer of electrical products., • Must be on patch., • Has sold to/dealt with Electrical Wholesalers and M&E Contractors, • An excellent relationship builder and not afraid of opening new doors when required, • Looking for a long term career opportunity, • Up to £45k basic salary (dependant on experience), • OTE £60k paid annually, • Hybrid type company car, • Fuel paid, • 25 days holiday, • Mobile, • Lap Top, • Health Scheme If you would like to find out more then get in touch as soon as possible on 01737 452 030 or email in your CV to

Who We Are Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who You Are The AI Implementation Engineer owns the technical delivery and stabilization of Ema's agentic AI solutions in customer environments — from commitment through production rollout and steady state. This is a hands-on, post-sales, customer-facing engineering role: you build, you deliver, and you are the technical anchor the customer leans on. You are equally comfortable writing production code, debugging an integration the night before a go-live, walking a customer's VP of Operations through an architecture decision and translating a messy business problem into a feasible agentic workflow. You thrive in ambiguity, make abstract problems concrete, and reduce chaos rather than amplify it when things go wrong. You'll work closely with Value Engineering, Product, Engineering, Infrastructure, and the customer's IT and business teams to prove that agentic AI can be implemented responsibly — not heroically. What You'll Work On End-to-End AI Delivery Ownership • Own technical delivery from design alignment through production rollout and Stabilization, • Configure, extend, and integrate Ema's agentic AI platform to meet customer requirements, • Write clean, efficient, maintainable code to build customer integrations, custom agents, and workflow extensions, • Build and maintain APIs (REST, gRPC) and integrations across enterprise SaaS systems, • Work with back-end languages such as Python and Go, and contribute to front-end interfaces (React/Angular, HTML, CSS, JavaScript) where customer-facing tooling is needed, • Develop deep understanding of each customer's business processes, systems, and constraints, • Translate business workflows into feasible agentic AI workflows — and push back when something shouldn't be built, • Be the primary technical point of contact for customer business and IT stakeholders during implementation, • Coach customer teams and internal partners during high-stress phases — go-lives, incidents, scope changes, • Stand systems up in multi-tenant SaaS environments and harden them for production, • Apply security best practices and enterprise integration patterns (auth, RBAC, audit, compliance), • Track success through adoption signals and outcome metrics — not just feature shipment, • Coordinate across Ema Engineering, Product, Data, Infrastructure, and Value Engineering, • Feed customer learnings back into product and platform improvements, • Contribute to shared standards, delivery discipline, and reusable patterns across the implementation team Ideally, You'd Have • 5–8 years of relevant experience in technical implementation, post-sales engineering, solutions engineering, or hands-on software engineering with significant customer-facing exposure, • Bachelor's degree in Computer Science or related field, • Hands-on production experience with agentic AI, automation, LLM applications, or workflow orchestration platforms — beyond pilots, • Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures, and object-oriented programming, • Experience designing and building APIs (REST, gRPC) and integrations across enterprise systems, • Working knowledge of databases (PostgreSQL, Elastic, Redis, Clickhouse) and front- end frameworks (React or Angular), • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes), • Experience deploying and operating software in multi-tenant SaaS environments, • Understanding of security best practices and protocols for enterprise software, • Track record of owning customer-facing delivery end-to-end — production, scale, and accountability, • Background in fast-growing startups or enterprise platform companies, • Strong technical judgment, calm under pressure, and excellent written and verbal communication with both engineers and business stakeholders, • Experience working with global, distributed teams Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Location: London (hybrid) Level: Director Reporting to: VP of Engineering The company This is a well-funded, fast-growing B2B SaaS company that's become one of the most talked-about in its space. They've hit unicorn status and are now in the middle of a significant scaling phase — the engineering org is ~50 people today and is expected to grow to 150+ over the next 12 months. The product is used by some of the world's fastest-growing companies. The team is distributed across the UK and Europe, with a strong technical bar and a no-nonsense engineering culture. People here came from Google, Meta, Vercel, and high-growth scaleups. The VP of Engineering spent 9+ years at Google managing infrastructure teams at significant scale before joining at an early stage. This is not a corporate environment. Founders are hands-on, technical, and have high standards. The people who thrive here have opinions, make decisions, and lead from the front. The role You'll be joining as one of two Engineering Directors, sitting between the VP of Engineering and a layer of engineering managers who each lead autonomous product squads. You'll own a significant portion of the engineering organisation and be accountable for how it performs, scales, and grows. This is a player-coach role in the truest sense of leadership — not hands-on coding, but close enough to the technical work that you can hold your own in a systems design conversation, challenge architectural decisions, and earn the respect of strong engineers. What you'll be doing: • Managing a set of engineering managers and senior ICs, acting as their line manager, coach, and technical sounding board, • Owning the health and output of multiple product squads — delivery, quality, morale, and hiring, • Partnering with the VP of Engineering on org design, technical strategy, and how engineering scales from here, • Driving hiring across your org — you'll be building something meaningful over the next 12 months, • Feeding into cross-functional decisions alongside product, design, and go-to-market leadership, • Being the person who makes the call when things are ambiguous, moves fast when speed matters, and is comfortable having hard conversations What we're looking for Must-haves: • Experience managing engineering managers (not just individual contributors) — you've operated a layer of abstraction above the squads, • A background that combines time at a well-engineered large company and time at a high-growth B2B SaaS scaleup — you understand both how great engineering is built and what it takes to ship fast with limited resources, • The technical depth to do a credible systems design conversation — you don't need to write production code but you need to understand the tradeoffs engineers are making, • Experience in the 50–200 engineer range — you've either been through a scaling journey like this or are close enough to it that you understand what breaks and why, • Comfortable with ambiguity, fast-changing priorities, and a culture where the people above you are also deeply capable Strong signals: • B2B SaaS domain experience — RevOps, developer tooling, or anything close to the product surface, • You've hired well at pace — you know what great looks like and you can move quickly to close, • You've let people go when it was the right thing to do, • You've worked in a distributed team and made it work, • You're the kind of person who's done their research before walking into a room Not a fit if: • You're looking for a quiet, process-heavy environment, • Your default mode is "let me set up a committee", • You describe your leadership style primarily as "servant leader" and leave it there, • You haven't been close to the technical work in several years The interview process • Track record conversation (45 min, remote), • Incident response / technical leadership (45 min, remote) Compensation Competitive base salary, meaningful equity, and benefits. Range discussed on first conversation.

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.