Lab jobs in LondonCreate job alerts

Our client is a global technology company. \n Artificial intelligence will be one of humanity's most transformative inventions. We are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientifi... \n \n \n ZIPC1_UKTJ

Temporary Inventory & Logistics Administrator –Laboratory Environment Location: Hayes, Middlesex Salary: £13.50–£14.00 per hour Contract: 12-month temporary assignment Start Date: January 2027 Hours: Full-time An exciting opportunity to work in a technical laboratory environment! Are you highly organised, confident with numbers and a whizz with Excel? Perhaps you're a bright graduate looking for an opportunity to develop your skills in an interesting and innovative environment? We have a fantastic opportunity for an Inventory Administrator to join a busy team working within a technical laboratory environment. You will play an important role in ensuring materials, stock information and inventory records are accurately maintained to support the smooth running of laboratory operations. This is a varied position combining administration, Excel reporting, stock control and logistics coordination. Previous laboratory or logistics experience would be an advantage, but certainly isn't essential. We are equally interested in hearing from bright, enthusiastic graduates with strong numerical skills, excellent attention to detail and a willingness to learn. What will you be doing? Preparing and maintaining accurate Excel spreadsheets, reports and stock data. Analysing inventory figures, identifying discrepancies and ensuring records are accurate. Monitoring stock levels and coordinating the replenishment of laboratory materials and supplies. Updating inventory information on internal systems. Assisting with the ordering, receipt and movement of materials. Liaising with internal departments and suppliers regarding stock availability and deliveries. Supporting the coordination of UK and international shipments. Maintaining accurate administrative records and documentation. Helping to improve processes and ensure the smooth running of day-to-day laboratory operations. What are we looking for? Above all, we are looking for someone who is bright, numerically confident, accurate and exceptionally good with Excel. You will ideally have: Strong Microsoft Excel skills, with the ability to manipulate data, work with figures and prepare reports. Excellent numerical ability and a high level of accuracy. Strong organisational and administrative skills. A logical, analytical approach to problem-solving. Good written and verbal communication skills. The confidence to work independently and manage competing priorities. A proactive attitude and genuine willingness to learn. An interest in working within a technical, scientific or laboratory environment would be a real advantage. Experience in stock control, inventory administration, logistics or supply chain would be beneficial, but is not essential. Graduates are very welcome to apply, particularly those with strong analytical and numerical skills. Why apply? A fantastic opportunity to gain experience within a technical laboratory environment. Work in an interesting, professional and innovative setting. A varied role combining administration, data analysis and logistics. An excellent opportunity for a graduate or someone looking to develop their career. A 12-month temporary assignment starting in January 2027. * Training and support to learn the role. If you love working with numbers, enjoy Excel and would relish the opportunity to work in a busy technical laboratory environment, we would love to hear from you! What You Need to Do Now: If this sounds like the role for you, don’t wait - apply today with your up-to-date CV! If it’s not quite right for you but you know someone perfect, refer them to us and receive a £100 voucher when they’re placed and pass their probation period (terms apply). Visit our website to read more about our Double the Reward scheme in our blog. Due to the high number of applications, if you have not heard from us within 48 hours, please assume your application has been unsuccessful. A little more about us: We are Top Flight Recruitment Ltd (trading as Uxbridge Employment Agency and Windsor Employment Agency), and act as an Employment Agency when advertising permanent roles and as an Employment Business when advertising temporary or contract roles. All vacancies are advertised with written instruction from our clients. Where salaries or rates of pay are quoted, the nature of the work, location, and minimum experience, training or qualifications required are stated within the advert. We never charge fees to work-seekers, and all recruitment is carried out in line with the Conduct of Employment Agencies and Employment Businesses Regulations 2003. We take your privacy seriously. Please see our website for our full Data Privacy Notice. What You Need to Do Now: If this sounds like the role for you, don’t wait - apply today with your up-to-date CV! If it’s not quite right for you but you know someone perfect, refer them to us and receive a £100 voucher when they’re placed and pass their probation period (terms apply). Visit our website to read more about our Double the Reward scheme in our blog. Due to the high number of applications, if you have not heard from us within 48 hours, please assume your application has been unsuccessful

Ink Chemist (Plastisol & Water-Based Formulations) Hybrid Working - Fridays Home Based Assistance with travel costs ? We are seeking an experienced Ink Chemist to join an innovative UK manufacturer, specialising in the formulation and development of plastisol and water-based inks for textile printing. This role is ideal for a hands-on professional with a strong background in screen printing inks / plastisol inks , particularly for T-shirts and other garment applications. Key Responsibilities: Develop, formulate, and optimise plastisol and water-based inks for textile and garment printing Ensure consistent colour accuracy, print performance, and product quality Conduct lab testing and production trials for new formulations Troubleshoot formulation and production issues, ensuring efficient resolution Work closely with production teams to scale formulations from lab to manufacturing Maintain detailed records of formulations, testing results, and improvements Stay up to date with industry trends, innovations, and regulatory requirements Ensure compliance with relevant safety, environmental, and quality standards Candidate Requirements: Proven experience as an Ink Formulation Chemist (essential) Demonstrable experience formulating plastisol and water-based inks specifically for textiles and T-shirts Strong understanding of pigments, resins, solvents, and additives used in textile inks Knowledge of screen printing processes and performance requirements Experience in lab testing, quality control, and troubleshooting Strong knowledge of raw materials sourcing Strong analytical and problem-solving skills Ability to work independently and collaboratively within a team Must have to right to work in the UK - sponsorship not available Desirable Skills Experience with eco-friendly or sustainable ink systems Knowledge of industry standards (e.g., OEKO-TEX, REACH compliance) Experience scaling formulations into production environments Our client is offering a competitive salary, assistance with travel costs and the opportunity to work with a growing and innovative team with a supportive and collaborative working environment. ? TPBN1_UKTJ

About usAppnovation is the AI Product Company. Headquartered in Vancouver, Canada, with teams around the world, Appnovation builds AI products, delivers enterprise AI and digital solutions, and co-invests with clients to bring new AI products to market.Open source has been the foundation of Appnovation's work since 2007, and it remains the foundation underneath every AI product the company builds today. Appnovation teams work with organizations in highly regulated industries, including global leaders such as Pfizer, Google and AstraZeneca, to help them adopt AI they can govern and own.About the roleWe are hiring a UK-based Technical Lead to work with our existing global team and promote quality and excellence in our web-based solution delivery.Our team builds and runs corporate and enterprise-scale web properties on a composable stack: headless CMS, Node and React front ends, and the integrations that connect them to the client's wider platform.You will be the team's technical voice to the client as well as leading the development of your assigned projects. You will work with the team to translate business goals into a clear deliverable technical plan while communicating trade-offs, risk and progress to stakeholders.This is a hands-on technical leadership role. You will plan, code and review, while being accountable for the technical outcome of the project team.What you will doTechnical direction and qualitySet the team's technical direction and own architecture and design decisions across the composable stack.Select and justify the right headless CMS, front-end framework and hosting approach for each property, weighing editorial experience, performance, cost and lock-in.Design content models and component libraries that scale across multiple brands, sites, regions and locales.Uphold coding standards and best practices through consistent code review.Ensure developers test their own work before it reaches QA, with automated testing and CI/CD in place.Hold the team to clear standards for security, accessibility, search and performance (detailed below).Web standards: accessibility, search and performanceOwn accessibility to WCAG 2.2 AA as a minimum, with awareness of the European Accessibility Act and UK public-sector regulations where they apply. Build it into components, content models and testing, combining automated tools (axe, Lighthouse) with manual keyboard and screen-reader checks.Own technical SEO: semantic HTML, structured data (schema.org), metadata, canonicals, sitemaps, hreflang for multi-region sites, and redirect strategy during migrations.Prepare properties for answer engine optimisation (AEO) and generative engine optimisation (GEO), so content is structured, attributable and easy for AI search and assistants to find, understand and cite.Set performance budgets and hold the team to Core Web Vitals targets (LCP, INP, CLS), using real-user monitoring as well as lab testing.Build these checks into CI so regressions are caught before release, not after.AI-assisted engineeringLead a team working in a heavily AI-tooled environment, using coding assistants and agents such as Claude Code, GitHub Copilot or Cursor, and set clear rules for how they are used.Preserve codebase quality: AI-generated code meets the same standards for review, testing, security and maintainability as hand-written code.Keep people accountable: every change has an owner who understands it, and architecture decisions are not delegated to tools.Maintain the guardrails that make AI output reliable, including linting, type checking, test coverage, documented conventions and context files the tools can follow.Watch for AI-specific risks, such as client data or secrets in prompts, licence and IP concerns, and duplicated or inconsistent code.Migrations and integrationsPlan and lead content and platform migrations from legacy or monolithic CMS platforms to headless, including content audits, mapping, transformation and URL redirect strategy.Design repeatable migration and automation pipelines using n8n or similar tools, alongside custom Node scripts where needed.Lead integration development between the CMS and the client's wider estate, such as CRM, DAM, PIM, search, analytics, marketing automation and identity.Own API design, webhooks and event-driven patterns, with clear error handling, monitoring and rollback.Documentation and knowledge sharingOwn documentation for architecture, content models, integrations, design decisions and technical specifications.Turn one-to-one guidance into reusable material so onboarding and handoff don't depend on any one person.Stay current on [client-specific compliance requirements, e.g. UK GDPR, cookie consent (PECR) and accessibility obligations].Team leadership and mentoringBreak plans down into well-formed tasks and stories the team can act on.Delegate work fairly and evenly across the team.Coach and mentor developers to grow the team's capability in headless and composable delivery.Client communication and stakeholder managementServe as the client's primary contact for technical discussions.Explain technical concepts, options and status to non-technical stakeholders, including marketing and content teams, in plain language.Manage client expectations honestly on scope, effort and risk.DeliveryLead technical input to planning, estimation and backlog refinement.Track progress against milestones and budget with the project manager.Identify technical risks early, particularly around migration cut-over and third-party integrations, and escalate critical issues before they become surprises.Commercial awarenessSeek client feedback and fold it into development cycles.Spot genuine opportunities to add value for the client, and bring them to the account team.What success looks likeDelegation is healthy. Work is spread across the team, not bottlenecked on you.Documentation survives handoff. A new engineer can onboard and maintain the system from what is written down.Migrations land cleanly. Content moves with no lost pages, broken links or SEO drop, and cut-overs happen on the planned date.Standards are measurable. Properties meet WCAG 2.2 AA and Core Web Vitals targets, and are visible in both traditional and AI-driven search.Quality holds as speed rises. AI tooling increases throughput without increasing defects, accessibility issues or performance regressions.Editors are self-sufficient. Content teams can build and publish pages without developer help.Integrations are reliable. Data flows between systems are monitored, and failures are caught before the client notices.The client trusts you. Stakeholders route technical decisions through you.What you bringRequired8+ years in software development, including at least 2 years leading a team's technical direction.A track record delivering corporate and enterprise-scale web properties: multi-site, multi-brand or multi-region platforms with high traffic, complex governance and many stakeholders.Proven ability to turn a technical vision into a clear, actionable plan a team can execute.Excellent communication with non-technical audiences.Right to work in the UK.Technical skillsComposable architecture: designing MACH-style (microservices, API-first, cloud-native, headless) solutions and making sound build-versus-buy decisions.Headless CMS: hands-on delivery with at least two of Sanity, Contentful, Builder.io, Strapi or Webflow, including content modelling, editorial workflows, localisation and preview.React: strong production experience, ideally with Next.js or a similar framework, covering SSR, SSG and ISR rendering strategies.Node.js and TypeScript: building APIs, serverless functions, middleware and scripts.Migrations: leading content or platform migrations at scale, using n8n or similar automation tools (e.g. Make, Zapier, custom ETL) as well as scripted approaches.Integration development: REST and GraphQL APIs, webhooks, authentication (OAuth, SSO) and connecting a CMS to CRM, DAM, PIM, search and analytics platforms.Engineering practice: Git workflows, CI/CD, automated testing, and deployment to platforms such as Vercel, Netlify, AWS or Azure.Accessibility: in-depth knowledge of WCAG 2.2 AA, ARIA and semantic HTML, with hands-on assistive-technology testing.Search, AEO and GEO: technical SEO, structured data, and structuring content so it performs in AI-driven search and answer engines.Performance: Core Web Vitals, performance budgets, caching and CDN strategy, and image, font and script optimisation.AI-assisted development: daily, fluent use of AI coding tools, with the judgement to review, test and reject their output so the codebase stays clean and maintainable.Nice to haveConsulting or agency experience, managing client relationships alongside delivery.Experience establishing team practices from scratch on a new engagement.Experience writing AI usage policies or engineering guidelines for a team.Certifications or partner experience with Sanity, Contentful or other composable vendors.Experience with commerce or search platforms in a composable stack (e.g. Shopify, commercetools, Algolia).Familiarity with design systems and tools such as Storybook and Figma.Thank you for your interest in a career with Appnovation Technologies! Please note that only those selected for an interview will be contacted.At Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply. Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital. Accommodations are available upon request throughout the recruitment process.

GSK • Enterprise AIDirector, Forward Deployed Engineer (CMC R&D)About the RoleGSK’s Enterprise AI team builds AI solutions that prove value fast and scale to production. The Director, Forward Deployed Engineering leads the FDE function for the research engine of the Chemical Manufacturing Controls (CMC) and will drive the front of the Enterprise AI delivery pipeline that proves AI ideas with the business through first production versions, before handing proven solutions off to the Solutions Engineer for scale-up. The pattern is proven by AI-native companies — Anthropic, Palantir, OpenAI — and this role brings that model to GSK.This Staff role leads the Forward Deployed Engineering function with direct line management of the FDE team. The Staff sets FDE strategy and engagement priorities, owns Director-level BU sponsor relationships, and represents Enterprise AI on FDE matters to GSK leadership. The role continues to contribute technically at the frontier of AI-augmented engineering — humans steer, agents execute.CMC is the GSK function that turns a validated molecule into a reliably manufactured, quality-assured medicine; its mission is to get safe, effective, consistently manufactured medicines to patients, faster. To support GSK's ambition to double new product introductions, the CMC Acceleration program is composed of three engines: the Development Engine, which fosters molecule and process development (R&D); the Tech Transfer Engine, which expedites the path from R&D to market (GSC); and the Data & Automation Engine (across CMC), which provides the foundational knowledge system and agentification of the full CMC process.This role will build and scale the digital twin, physical AI, and self-driving lab capability that connects virtual process models to real-world process signals and closed-loop experimentation, underpinning real-time process modeling and accelerated process development for drug substance and drug product manufacturing. You bring deep, hands-on AI/engineering expertise and the judgement to turn ambiguous CMC R&D problems into shipped, production-grade systems, while mentoring the engineers around you.Why This Role ExistsEnterprise AI’s ability to build credibility with the business depends on engineers who can land inside BU problems, prove value quickly, and hand off cleanly. The Director, Forward Deployed Engineering builds and leads the function that makes this happen.• Leads the FDE function — setting strategy, building the team, and owning the standards that determine whether the function delivers credibly.• Owns the BU senior relationships that bring AI use cases to Enterprise AI and sustain engagement through the delivery cycle.• Continues to contribute technically on the most strategic FDE engagements — keeping the Director’s judgement grounded in current AI engineering reality.Key ResponsibilitiesFDE Function Leadership• Lead the Forward Deployed Engineering function — strategy, structure, hiring, development, and standards.• Hire, mentor, and develop the FDE team — creating development paths from G8 through to G5.• Set the standards for AI-native engineering practice within the function — agent workflows, prompt and pattern libraries, handoff hygiene.BU Engagement & Strategic Delivery• Own relationships with Director and Senior Director-level BU sponsors across business units that bring AI use cases to Enterprise AI.• Take on the most strategic FDE engagements personally — the ones that set precedents for the function.• Make and defend portfolio-level kill/continue decisions across FDE engagements with BU and Enterprise AI leadership.Cross-Functional Leadership• Coordinate with the Solutions Engineering and Operations Engineering functions on the delivery pipeline; represent FDE in Enterprise AI leadership forums.• Influence vendor strategy and tooling choices for AI-native engineering practice within Enterprise AI.Governance & Reporting• Ensure the FDE function operates within Code Orange, Responsible AI, and Accountability Report governance from the prototype stage onward.• Provide regular reporting to Enterprise AI leadership on FDE function performance — engagement pipeline, outcomes, team development, and capacity.What You BringRequired Experience• Extensive experience in software engineering and AI/ML engineering, with significant time leading senior engineering teams or functions.• Demonstrated experience taking AI ideas from sketch to working software at speed, in customer-facing engineering roles.• Strong depth in at least 3 of the following: digital twins, predictive modeling, document generation, multi-agent orchestration & automation, Physical AI• Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development.• Experience hiring, mentoring, and developing senior engineering talent.• Track record of representing engineering functions to senior business stakeholders.Preferred Experience• Prior leadership experience at an AI-native company (Anthropic, Palantir, OpenAI, or similar) — Head of Forward Deployed Engineering, Director of Solutions, or equivalent.• Experience with physical devices AI automation (PLCs, robotic arms), Isaac Sim, virtual commissioning, foundation models for manufacturing, self-driving labs, etc• Experience in regulated industries (pharma, healthcare, financial services).• Experience in the process development in a pharmaceutical research environment.• Experience setting AI engineering standards at organisational scale.Education• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. Master’s degree or PhD in Computer Science or related field are advantageous.Skills ProfileThe following skills define what strong performance looks like in this role. Each descriptor reflects the scope, autonomy, and impact expected at this Director level.Technical Leadership• AI Engineering Practice: Sets the standards for AI-native engineering within the function. Maintains hands-on technical depth on strategic engagements and evaluates the team’s technical decisions.• Portfolio Judgement: Makes and defends portfolio-level kill/continue decisions with multi-year business consequences. Translates AI engineering possibility into business outcomes for senior stakeholders.People & Team Development• Hiring & Development: Hires, mentors, and develops senior engineering talent. Creates development paths from G8 through to G5 with clear milestones and active coaching.• Function Building: Builds and leads an engineering function — structure, standards, culture, and ways of working — in a fast-moving AI landscape. Stakeholder Engagement• Senior BU Relationships: Owns Director and Senior Director-level BU sponsor relationships. Navigates complexity across business units to sustain the FDE engagement pipeline.• Enterprise AI Representation: Represents the FDE function in Enterprise AI leadership forums. Influences cross-functional strategy and vendor decisions at organisational scale.Governance & Standards• Governance Leadership: Ensures responsible AI governance is embedded in FDE practice from the prototype stage — not bolted on afterward.• Function Performance: Maintains clear reporting on FDE pipeline, outcomes, and team development for Enterprise AI leadership.What Success Looks LikeIn the first 12 months, the person in this role will have:• The FDE function is operating with a clear engagement pipeline, defined standards, and a team that is delivering at pace and developing toward greater seniority.• Director and Senior Director-level BU sponsors describe Enterprise AI’s FDE function as a credible, high-value partner — not a vendor relationship.• At least one portfolio-level kill/continue decision has been made and defended, with Enterprise AI and BU leadership aligned on the outcome.• AI-native engineering standards — agent workflows, prompt and pattern libraries, handoff hygiene — are documented and actively used by the team.Work Location: This role is based at GSK HQ, London and offers a hybrid working model, combining on-site and remote work.Closing date for applications: 10th November 2026Enterprise AI is GSK’s centre of gravity for applied artificial intelligence. We pair forward deployed engineers and full-stack engineers with scientific, clinical, and business teams to build AI products that get used — not pilots that get archived. We work fast, ship in production, and measure ourselves on outcomes that matter to patients.GSK is a global biopharma company with a purpose to unite science, technology, and talent to get ahead of disease together. We are committed to building a diverse and inclusive team — we welcome candidates from all backgrounds and underrepresented groups in technology, science, and pharma.#AGTechSkillsArtificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Predictive Modeling, Python (Programming Language), Test DocumentationWhy GSK?Uniting science, technology and talent to get ahead of disease together.GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receiveImportant notice to Employment businesses/ AgenciesGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at SummaryLocation: UK – London – New Oxford StreetType: Full time

Principal FPGA Engineer- North Hykeham (LN6) - Permanent - Hybrid Up to £70,000 depending on experience 25 days annual leave inclusive of up to 3 days Christmas shut-down Buy or sell up to 5 days' annual leave Annual Wellbeing allowance Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Career development support We're growing our Electronic Warfare Operations Support Group (EWOS), a team of over 60 specialists from a wide range of backgrounds. Our engineers, scientists, and ex-military personnel work together to help our customers achieve the true operational potential and help keep their people and platforms safe. As part of this growth, MASS is looking for an Principal FPGA Engineer to join our modelling team in Lincoln, supporting the delivery of technical excellence on a large, cutting-edge System-of-Systems programme. This is a collaborative, hands on role, suited to someone with strong experience in FPGA design and a passion for developing signal processing systems for complex, real-world challenges. You'll work closely, with cross functional teams, acting as a technical lead in the design and delivery of systems that include RF signal chains, high-speed digital interfaces, and real-time DSP. Your work will influence key architectural decisions, address integration challenges, and help shape the development of reconfigurable hardware platforms for use in mission-critical environments. The invaluable experience you'll bring, to help us achieve more. Define and implement advanced FPGA architectures for RF signal processing, high-throughput data handling, and real-time logic. Develop for AMD/Xilinx RFSoCs (e.g. Zynq UltraScale+) and Intel FPGAs (e.g. Agilex), including integration with high-speed ADCs/DACs. Collaborate with systems, RF, embedded software, and verification engineers to ensure end-to-end performance and compliance. Support test and lab evaluation using signal generators, spectrum analysers, and oscilloscopes. Lead or contribute to the implementation of designs using VHDL, SystemVerilog, and MATLAB/Simulink HDL Coder. Develop low-level C software for FPGA bring-up, test, and integration. Use industry-standard tools such as Vivado, Quartus, and ModelSim for simulation, synthesis, and implementation. Drive design verification, unit testing, and documentation to ensure high-reliability deployment. Act as a technical expert in reviews, solution development, and internal consultation across teams. Essential Experience Proven track record in delivering FPGA designs for real-time, high-speed, or RF-centric systems. Proficiency in VHDL, SystemVerilog, and embedded C for FPGA-host integration, control, and testing. Experience with MATLAB/Simulink and HDL Coder for algorithm-to-hardware workflows. Proven ability to develop and deploy on Xilinx RFSoC (e.g. Zynq UltraScale+) and/or Intel Agilex/Stratix platforms. Expertise with Vivado, Quartus, constraint management, simulation, and timing closure for multi-clock, high-throughput designs. Desirable Experience Experience working with embedded Linux, bare-metal C drivers, or FPGA-based system integration. Familiarity with AXI interfaces, memory interfaces, JESD204B/C, or high-speed ADC/DAC integration. Experience designing streaming architectures using AXI4-Stream, DMA, and memory buffers (e.g. BRAM, URAM). Exposure to real-time signal playback/recording systems, or hardware-in-the-loop (HIL) test environments. Knowledge of bitstream encryption, secure boot, or anti-tamper features in FPGA-based systems. Knowledge of data framing, tagging, and high-throughput IQ data handling. Experience working with synthetic electromagnetic environments and their associated software and hardware requirements and limitations Wellbeing is at the core to our culture, allowing employees to flourish and to achieve their full potential. Our people are important to us, and we take pride in our wellbeing programmes and policies that support individuals, including mental health first aiders and readily available support through our extensive employee assistance programme. Our non-negotiables: Due to the highly secure nature of the projects that you will be involved with, you must be: A UK National and eligible to work in the UK. Eligible to obtain and maintain a UK Government SC-level security clearance Apply today to see how working for MASS could work for you! TPBN1_UKTJ

Strive are a UK wide Supply Chain & Logistics management recruiter. Please visit strive . co . uk for additional roles across engineering, production, warehouse & transport operations. Are you the right applicant for this opportunity Find out by reading through the role overview below. MPI & FPI Technician Magnetic Particle Inspection & Fluorescent Penetrant Inspection c£32k + 17% Shift Bonus + Benefits West Midlands Strive Supply Chain are a leading management recruitment consultancy, specialising in Supply Chain, Production, Planning, Logistics, Transport & Warehouse Operations, please visit our website for further vacancies and information. Our client is a leading lab-based testing partner to companies operating in the world's most highly-regulated industries. They are one of the fastest growing testing, inspection and certification businesses in the world. They are seeking a qualified and motivated MPI & FPI Technician to join their inspection team supporting the aerospace and casting industries at their laboratory in Birmingham. This is a Monday to Friday based role, with morning and afternoon shifts (AM / PM). Role Overview The MPI & FPI Technician performs non-destructive testing (NDT) using magnetic particle and fluorescent penetrant inspection techniques to identify surface and near-surface discontinuities in components, materials and assemblies. The role ensures inspections are completed safely, accurately and in accordance with approved procedures, customer requirements, applicable standards and the organisation's quality system. The Technician produces clear, traceable records and communicates findings promptly to support product integrity, regulatory compliance and customer Key Responsibilities Interpret inspection results and determine accept/reject criteria per aerospace specifications (e.g., ASTM, AMS, NADCAP). Set up and calibrate NDT equipment in accordance with approved procedures. Prepare and maintain inspection reports, logs, and certifications. Ensure compliance with NADCAP and customer-specific requirements. Assist in developing and reviewing NDT procedures and techniques. Train and mentor Level I technicians as required. Maintain work area, chemicals, and equipment in accordance with safety and environmental regulations. Participate in audits (internal, customer, and regulatory). Qualifications & Experience Qualifications: Certification as NDT Level II in one or more methods per ASNT or NAS 410 standards. High school diploma or equivalent (technical degree preferred). Minimum 2–5 years of experience in aerospace NDT or special processing. Strong understanding of aerospace materials, processes, and defect mechanisms. Ability to read and interpret blueprints, specifications, and work instructions. Preferred Qualifications: Experience in aerospace special processing (plating, heat treating, coatings). Prior experience in a NADCAP-accredited facility. Multi-method Level II certification. Skills & Competencies: Attention to detail and high level of accuracy. Strong documentation and communication skills. Familiarity with quality systems such as AS9100. Ability to work independently and in a team environment. Basic computer skills for reporting and data entry. This is a fantastic opportunity – we look forward to your application . Strive Supply Chain Limited [& associated businesses] acts as an employment agency on behalf of external employers for the provision of permanent staff. xrnqpay By applying for this vacancy, you accept the T&C's, Privacy Policy and Disclaimers which can be found at strive. co. uk

This is a platform engineering role on a team that keeps the software behind an industrial AI product running smoothly. The work is mostly Python and Terraform, covering build pipelines, connections to plant systems, device software and customer-facing tools. A strong candidate writes well-tested code, supports live systems, mentors others and is happy improving existing systems as well as building new ones. The product itself is AI that controls heavy industrial plants, so this role sits underneath it, making sure models and control software ship and run reliably. Better tooling and sound engineering habits help ML colleagues move faster and with fewer surprises. Judgement about trade-offs, ownership of production problems and clear teamwork across disciplines stay firmly human. Someone in this role would see how an AI control system is deployed, monitored and supported in real plants, which is a rare view of AI beyond the lab. Working beside ML engineers on shared code quality and release practices builds practical MLOps understanding. Anyone preparing can explore device fleet management, CI/CD and AI workflows that go beyond simple prompting. • Production Python with strong tests, • Terraform and cloud infrastructure, • Owning systems in production, • Mentoring other engineers This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role. Industrial artificial intelligence platform providing self learning process control to cut fuel costs and carbon emissions in energy intensive manufacturing. #J-18808-Ljbffr

End Date Monday 21 September 2026 Salary Range £107,304 - £126,240 We support flexible working Flexible Working Options Hybrid Working, Job Share Job Description Summary Job Description JOB TITLE: Enterprise Infrastructure Lead SALARY: £107,304 - £126,240 LOCATION(S): London HOURS: Full-time - 35 hours per week WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our London office. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. This is a senior engineering and delivery leadership role focused on the Unisys mainframe environments supporting some of Lloyds Banking Group's most important banking services. You'll join the Enterprise Lab within Core Infrastructure, reporting to the Engineering Lead. You'll lead the engineering teams responsible for building, running, protecting and modernising our Unisys infrastructure. These are mission-critical environments that process high-value customer transactions and must operate securely, reliably and resiliently within a highly regulated organisation. The role therefore requires more than general infrastructure leadership. We're looking for someone who understands the distinctive operational, engineering and lifecycle challenges associated with mainframe platforms and the specialist teams that support them. We're looking for someone to lead, inspire and develop a team of infrastructure engineers. You'll drive a strategic effort to improve the agility, pace of operations and cost, of our Lab for LBG. The services you'll help lead, develop, and operate are at the core of our infrastructure and require high quality while moving fast to keep up with our customers' needs. This is an exciting time to join the team! • Lead, inspire and develop multidisciplinary engineering teams responsible for Lloyds Banking Group’s mainframe infrastructure and associated runtime services., • Own the technical integrity, availability, resilience, recoverability and security of the Unisys platforms within your scope., • Maintain effective oversight of production service performance, operational risks, vulnerabilities, capacity, software currency, hardware lifecycle and technical debt., • Lead complex infrastructure change, including hardware refreshes, software upgrades, resilience improvements, security remediation, service transitions and platform decommissioning., • Ensure changes are appropriately designed, tested, risk-assessed and governed, with robust implementation, recovery and stakeholder-communication plans., • Act as a senior escalation point during major incidents, bringing together engineering teams, application owners, service management, suppliers and senior stakeholders to restore service and address root causes., • Strengthen incident, problem and change-management practices, ensuring that learning is converted into preventative action, improved automation, stronger controls and more resilient services., • Work closely with Unisys and other strategic technology suppliers, providing effective oversight of service performance, technical support, commercial commitments, risks and improvement plans., • Drive automation and operational simplification across platform engineering activity., • Build sustainable engineering capability through coaching, mentoring, succession planning, knowledge capture and structured development pathways for engineers. We're transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We're growing, and we'd love you to be part of the journey. • Leading infrastructure, platform or service-delivery teams responsible for mainframe environments., • Developing specialist engineering teams, addressing key-person dependencies and creating credible succession and skills-transition plans., • Leading major incident recovery, root-cause investigation, problem management and preventative improvement activity., • Operating mission-critical, high-availability platforms within financial services or another highly regulated industry., • Ownership of platform strategy, lifecycle management and technical roadmaps, • Managing technology suppliers, support partners, service levels, escalations and commercial commitments. Any experience of these would be particularly valuable • Unisys ClearPath environments., • Hardware refreshes, operating-system upgrades, platform migrations or data-centre change., • Disaster recovery, cyber recovery, resilience testing and recovery assurance #J-18808-Ljbffr

A fantastic opportunity has arisen for a Systems Proving Engineer to join the Integration and Systems Validation team in the naval based air defence domain. Contracts have been won and more are expected, so the team is growing and this is a good time to join. This role covers the planning, running and reporting of trials, from laboratory-based integration trials through to harbour, sea and firing trials, working closely with the systems engineering and design teams. Key Responsibilities: Working with the systems engineering and design teams to plan, generate and execute trials Liaising with the systems engineering and design teams to make sure enough trials data is captured, and to investigate and resolve design issues Producing trials documentation Preparing, delivering and following up internal and external Trials Readiness Reviews Carrying out post-trials data analysis and reporting Conducting and/or supporting trials, including laboratory-based functional integration and system trials, ground-based trials, harbour and sea trials, and firing trials Taking on lab management responsibilities, such as maintaining risk assessments, asset management, host audits and lab safety Maintaining hardware and software configuration control Travelling within the UK and possibly abroad, as the work requires The ideal candidate would have: Experience of MBSE tools, for example DOORS, Rhapsody or RTC Experience of coding, especially Python (beneficial but not essential) The ideal candidate must have: Experience of working in at least one of these areas: system integration; design proving and trials; naval integration; missile test; interface design; system assessment and acceptance; design verification; electrical / mechanical construction and interfacing; electronic design / test; or network integration The ability to communicate with a wide range of internal customers, sub-contractors, partners and suppliers, at both engineering and management levels This position offers a lucrative benefits package, which includes but is not limited to: Company bonus scheme, based on company performance Strong employer pension contribution Opportunity for paid overtime Generous flexi leave allowance, with additional days available Flexible working arrangements welcomed Enhanced parental leave, covering maternity, adoption, shared parental and paternity leave, plus neonatal leave and fertility testing/treatment support Excellent on-site facilities, including subsidised meals and free car parking Healthcare cash plan, with cash back on everyday costs such as optical and dental If this role looks like your next challenge, please contact Jack ASAP or apply via this advert! Please note that due to the nature of the client's business, only candidates who currently hold full British Citizenship (without limitations) / Dual Nationality (inclusive of British Citizenship) will be considered. We endeavour to reply to every candidate, but if you haven't heard back within 10 days, please understand that you have unfortunately been unsuccessful for this position, or the position has been filled. Please call the office or send an email to discuss other potential positions. TPBN1_UKTJ

Developing and provisioning of infrastructure that support agentic workflows across both Azure and GCP Data science expertise to help shape the agentic solution design of Coach AI as well as target state AI Assistant Creation of agent integration patterns to fulfil and action on behalf of customers by leveraging Bank systems Development of new AI products for the Conversational Banking Lab, including but not limited to: • Agent summarisation - bespoke features to summarise nuanced conversations, • App search evolution - transforming the existing vector search functionality into a fully generative experience and transition to single experience point, • Evaluation methods - continued automation of both deterministic and generative conversations in a scaled and simulated way, • 1. Python literacy - min 2years+ working on production grade LLM based applications, • 2. Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture, • 3. AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring, • 1. AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks, • 2. Data ontologies - graphical approaches to data storage + retrieval, • • Exposure to Agile/Scrum methodologies. #J-18808-Ljbffr

Strong hands-on technical capability. Engineering or technical operations. You’ll combine genuine technical capability with an operational mindset, working independently to keep the lab running to an exceptional standard while delivering against both planned activity and last-minute, high-pressure

As a Forward Deployed Engineer at ARX Robotics, you are the crucial link between our advanced Mithra OS and our customers' real‑world operational challenges. Mithra is our ARX Software Stack that transforms legacy fleets with AI‑driven autonomy and standardized software, ensuring seamless integration and unmatched adaptability for complex missions. You will step directly into complex environments, translate unique user needs into robust technical solutions, and ensure our autonomous systems deliver decisive value in the field. This is a hands‑on role for a systems thinker who thrives on integrating cutting‑edge software into mission‑critical applications. You will act as the technical expert on the ground, the trusted partner to our customers, and their voice within our engineering teams, directly shaping the future of autonomous ground systems. • Directly shape customer success by integrating our Mithra OS into their unique operational systems., • Develop and deploy custom software extensions, adapters, and data flows using our modern APIs and SDKs., • Bridge the gap between high‑level customer ambitions and our core technology, translating complex requirements into reliable, field‑ready integrations., • Lead the technical deployment at customer sites, from planning and configuration to live troubleshooting and support., • Orchestrate and execute field demonstrations that prove the value and capability of our autonomous systems., • Serve as the technical voice of the customer, channeling structured feedback to guide the evolution of our product roadmap., • Ensure every integration you create is maintainable, observable, and built to withstand the rigors of real‑world use., • Proven experience building and deploying software integrations for robotics, defense, or complex industrial systems, with hands‑on skills in C++ and ROS2., • Strong software engineering fundamentals, with a knack for production‑quality API integration, service development, and robust testing., • A deep understanding of distributed systems, including modern APIs, data modeling, event‑driven architecture, and networking., • The ability to partner directly with customers and operators, understand their world, and translate their needs into clear technical requirements., • A systems‑level mindset, capable of reasoning about the interplay between software, hardware, networks, and field operations., • Hands‑on experience troubleshooting complex systems in challenging, real‑world environments—not just in the lab., • A calm, clear, and pragmatic approach to problem‑solving, especially when under pressure in the field., • Excellent technical communication skills in English; proficiency in German is a strong plus. Please note: You do not need to meet every single requirement to apply. We welcome motivated candidates who are eager to grow into the role and develop their expertise further. Join a mission‑driven European defense tech company at a pivotal stage of growth, where you can help shape meaningful technology, take ownership early, and grow with the business! • Competitive compensation package including a bonus opportunity, • 27 days of annual leave to start, increasing with tenure up to 30 days, • Enhanced pension scheme plus private medical and dental insurance, • Learning & development support and team events budget, • Hybrid working setup depending on role and team needs, • Structured salary bands, levelling framework, and bi‑annual development conversations, • Referral bonus program, dog‑friendly office, and relocation support where applicable We recognise that members of the Armed Forces community may have unique career paths and may face particular challenges due to service life. We welcome applications from members of our Armed Forces Community and will take relevant circumstances into account during our recruitment process. Any information you provide will be treated in confidence and used only to help us understand any context we should consider, such as career gaps or frequent relocations, all with the aim of ensuring members of the Armed Forces community are not unfairly disadvantaged. ARX is a dual‑use technology company that specializes in developing autonomous unmanned systems and sensors for the European defence sector. Our dual‑use unmanned ground systems and sensors assist NATO Armies and civilian first responders in tackling their most challenging problems by providing them with training and information to make better decisions and take effective actions in life‑or‑death situations. As our team continues to expand rapidly, we are seeking motivated candidates who are excited to work in a highly energetic, creative, and innovative team dedicated to developing autonomous systems for challenging environments. We operate in a dynamic sector where collaboration, sharing innovative ideas, and developing novel problem‑solving strategies are ingrained in our work culture. If you are passionate about overcoming challenges that have a real impact on the security of our democracies, apply here to join ARX and help shape the future of dual‑use technology! ARX is an equal‑opportunity employer, and we encourage candidates from all backgrounds to apply. You can find ARX Robotics Applicant Privacy Policy here. #J-18808-Ljbffr

Lead PCBA layout from board concepts and lab demonstrations through to product-intent designs, with a focus on high-current, high-voltage and high-speed boards. • Own stack-up strategy, component placement, routing and optimisation for high-current and high-speed designs., • Develop PCB design processes for high-voltage and power designs that meet compliance and safety requirements., • Drive best practice in signal and power integrity, EMI/EMC, thermals, design for manufacture (DFM) and design for test (DFT)., • Work with electrical engineers to optimise performance and integration, and with mechanical and thermal team son liquid cooling, heatsinks, busbars and connectors., • Run design reviews and providetechnical leadership across multiple projects., • Work with PCB fabricators and assembly partners to deliver cost-effective prototypes., • Improve company-wide layout methodologies, tools and practices, and research new PCBA technologies., • Degree in Electrical or Electronic Engineering (or related)., • 6+ years of PCB layout experience, including leading complex multilayer boards and owning review processes., • Expert knowledge of Altium Designer, OrCAD, PADS or Cadence Allegro., • Strong grasp of high-current routing, creepage and clearance, high-voltage design, differential pairs, controlled impedance, high-speed interfaces, EMC and thermal optimisation., • Experience with power electronics (AC/DC, DC/DC) and controllers (FPGA, DSP, MCU)., • Desirable: power modules, GaN and SiC, liquid-cooled electronics and HDI. #J-18808-Ljbffr

This opportunity was posted more than 30 days ago and no application deadline was provided. You can explore active listings below. C Organising Institution / Firm Cognition Not Specified by Organiser London, England, United Kingdom Not Specified 7+ years experience drafting and negotiating commercial contracts, including international trans-national commercial arrangements; experience with high-velocity tech company preferred; transnational body of work, including Europe, Middle East, and Asia/South Asia; must have experience working from local market for US-based company; bonus if experience includes launching new markets in EU/MENA localities Job Securing a role as Commercial Counsel - Europe at Cognition is not just about joining a high-profile tech company—it's about becoming a pivotal player in the evolving legal landscape of AI-driven enterprises. Cognition, an applied AI lab at the forefront of software innovation, is seeking a legal professional with the expertise to navigate the complex regulatory environment of the European Union and beyond. This role is a testament to the growing intersection between legal strategy and technological advancement, offering a unique opportunity to shape the future of AI compliance and commercial law. The Commercial Counsel - Europe role at Cognition is a strategic position that requires a blend of legal acumen, business insight, and cross-cultural communication skills. As the primary legal voice in enterprise-level deals, the Commercial Counsel will manage a high-volume workflow of complex negotiations across AI SaaS licensing, marketing, and partnership agreements. This role is central to the company's expansion into the EMEA region, where the Commercial Counsel will serve as the connective tissue between local markets and the US-based technical and operational team. The Commercial Counsel will be responsible for translating local legal and regulatory requirements into actionable guidance for non-legal stakeholders. This involves deep fluency in GDPR, the EU AI Act, DORA, and the broader compliance landscape across the region. The role also requires the confidence to advise clearly under pressure, ensuring that all legal and regulatory considerations are addressed in a timely and effective manner. The Commercial Counsel - Europe will have a wide range of responsibilities, each with significant strategic implications. These include: • Lead responsibility for all GTM deals and contract work out of EU and MENA: This involves managing the entire lifecycle of commercial agreements, from initial negotiations to final execution, ensuring that all legal and business objectives are met., • Manage GDPR compliance and DPAs: Ensuring that all data protection and privacy regulations are adhered to, particularly in the context of AI SaaS licensing and marketing activities., • Manage local regulatory compliance (DORA, EU AI Act, EU Data Act, etc.): Navigating the intricate web of regulatory requirements across the EMEA region, ensuring that the company remains in compliance with all relevant laws and standards., • Manage a high-volume workflow, redlining and negotiating key legal documents: Handling a high volume of legal documents, including Licensing, SaaS agreements, and NDAs, with precision and efficiency., • Provide crucial legal guidance, balancing risk/reward: Offering strategic legal advice that balances the need for risk mitigation with the pursuit of commercial opportunities, ensuring that the company's interests are protected while remaining competitive in the market., • Engage with enterprise-level counsel, ensuring swift and fair deal closures: Collaborating with senior legal professionals to ensure that all deals are closed efficiently and effectively, maintaining the company's reputation for excellence in legal and business practices., • Advising on compliance with local regulations: Providing expert advice on compliance with local regulations, including GDPR, EU AI Act, and DORA, to ensure that the company operates within the legal framework of each market it enters., • Work collaboratively across teams to establish and launch new markets in EMEA: Playing a key role in the company's regional expansion, working closely with cross-functional teams to establish and launch new markets in the EMEA region. The ideal candidate for the Commercial Counsel - Europe role at Cognition must possess a robust set of qualifications and experience that align with the company's vision and operational needs. Key requirements include: • 7+ years experience drafting and negotiating commercial contracts: Demonstrated expertise in drafting and negotiating complex commercial contracts, particularly those involving international trans-national arrangements., • Experience with high-velocity tech company preferred: Preference for candidates with experience in high-velocity tech companies, where the ability to adapt to rapid changes and scale operations is critical., • Transnational body of work, including Europe, Middle East, and Asia/South Asia: A proven track record of working across multiple regions, with experience in the legal and regulatory environments of Europe, the Middle East, and Asia/South Asia., • Must have experience working from local market for US-based company: Experience working from a local market for a US-based company is essential, as the Commercial Counsel will need to navigate the complexities of operating in a foreign market while maintaining alignment with the US-based technical and operational team., • Bonus if experience includes launching new markets in EU/MENA localities: While not mandatory, experience in launching new markets in EU or MENA localities is a significant advantage, as it demonstrates the ability to drive growth and manage regulatory challenges in new markets. Joining Cognition as Commercial Counsel - Europe is not just a job—it's a strategic career move that offers unparalleled opportunities for growth and impact. The role is at the intersection of legal strategy and technological innovation, providing a unique platform to influence the future of AI compliance and commercial law. This position is ideal for legal professionals who are passionate about shaping the legal landscape of emerging technologies and are looking for a role that offers both challenge and reward. Moreover, the role offers the chance to work with a talented and diverse team of professionals, including world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI. This environment fosters innovation and collaboration, making it an ideal place for legal professionals to grow and thrive. Applying for the Commercial Counsel - Europe role at Cognition requires a strategic approach to highlight your qualifications and experience in a way that aligns with the company's needs. Here are some key steps to prepare for the application process: • Highlight your experience with international commercial contracts: Emphasize your experience in drafting and negotiating complex commercial contracts, particularly those involving international trans-national arrangements. This is a critical requirement for the role., • Demonstrate your expertise in regulatory compliance: Showcase your knowledge of GDPR, the EU AI Act, DORA, and other relevant regulations. This is essential for ensuring that the company remains in compliance with all legal requirements in the EMEA region., • Highlight your experience working in a US-based company from a local market: If you have experience working from a local market for a US-based company, make sure to highlight this in your application. This experience is crucial for the role, as the Commercial Counsel will need to navigate the complexities of operating in a foreign market., • Include any experience in launching new markets: If you have experience in launching new markets in EU or MENA localities, this should be highlighted as it is a significant advantage for the role., • Prepare for a collaborative work environment: Cognition values collaboration and innovation, so be prepared to demonstrate your ability to work effectively with cross-functional teams and contribute to the company's strategic goals. The Commercial Counsel - Europe role at Cognition represents a unique opportunity for legal professionals to make a significant impact in the rapidly evolving landscape of AI and technology. This role is not just about legal expertise—it's about shaping the future of how AI is regulated and commercialized. For those who are passionate about legal strategy, technological innovation, and cross-border compliance, this is an opportunity that offers both challenge and reward. As the legal landscape continues to evolve, roles like this will become increasingly important. Cognition is at the forefront of this transformation, and joining the company as Commercial Counsel - Europe will provide a unique platform to influence the future of AI compliance and commercial law. This is an opportunity that is not to be missed for those who are looking to make a meaningful impact in the legal and tech industries. Q: What are the key responsibilities of the Commercial Counsel - Europe role at Cognition? The Commercial Counsel - Europe will be responsible for managing a high-volume workflow of complex negotiations across AI SaaS licensing, marketing, and partnership agreements. They will also manage GDPR compliance, local regulatory compliance, and provide crucial legal guidance to ensure swift and fair deal closures. Q: What qualifications are required for this role? The ideal candidate should have 7+ years of experience drafting and negotiating commercial contracts, with a transnational body of work including Europe, Middle East, and Asia/South Asia. Experience working from a local market for a US-based company is also required. Q: How does this role contribute to the company's expansion into the EMEA region? The Commercial Counsel - Europe will play a key role in establishing and launching new markets in EMEA by providing regulatory and compliance guidance, ensuring that the company operates within the legal framework of each market it enters. Q: What is the company's vision for the role? Cognition is looking for a Commercial Counsel who can shape the future of AI compliance and commercial law. The role is strategic, offering the opportunity to influence the legal landscape of emerging technologies and drive the company's expansion into new markets. #J-18808-Ljbffr

The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform. The Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist. We've built a dedicated AI & Innovation Lab to drive real change across the organisation, developing and delivering AI solutions that transform how we work. The Senior Forward Deployed (AI) Engineer is a high-autonomy, high-impact role at the intersection of delivery and core platform development. You will embed directly with TP ICAP’s business divisions to lead end-to-end deployments of AI solutions. Owning discovery, technical scoping, system design, build, and production rollout. You will partner directly with domain teams to identify high-value AI opportunities, architect solutions tailored to real business problems and drive adoption from first prototype to stable production. Equally, you will serve as a critical feedback channel to TP ICAP’s central AI platform team, sharing field insights that shape product direction and model improvement. The role offers a unique opportunity to lead critical projects, shape engineering culture, and accelerate your career growth in the rapidly evolving field of generative AI. Own the full lifecycle of AI deployments within your assigned business division. Initial discovery and technical scoping through system design, build, and production rollout. Ensure solutions are technically sound, aligned to business outcomes, and delivered with the urgency and quality expected of a forward-deployed team. Embed directly with business stakeholders to understand their most pressing challenges. Translate complex domain requirements into well-defined technical solutions, operating as a trusted engineering partner rather than a distant service provider. Communicate progress, trade-offs, and outcomes clearly to leadership. Architect, build, and deploy cutting-edge AI applications powered by large language models and generative AI. Write and review production-grade code across frontend and backend systems, ensuring scalability, reliability, and strict data stewardship. Co-develop and enhance TP ICAP’s shared AI service platform in collaboration with the central AI & Innovation Lab. Feed field insights back to inform product roadmaps, identify where models succeed, and surface areas for improvement. Drive adoption of deployed solutions by measuring success through production usage, measurable workflow impact and evaluation-driven feedback. Present outcomes and strategic recommendations to leadership, demonstrating tangible business value. Essential Expertise in Generative AI, Machine Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks. Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack. A proven track record architecting and designing scalable solutions that move from prototype to production. Experience managing technical priorities within an Agile environment, resolving dependencies and ensuring alignment across stakeholders and platform teams. Strong communication skills with the ability to present complex technical concepts to non-technical stakeholders and senior leadership, translating AI capabilities into business language. Desired AWS experience including AI services such as Bedrock and the Serverless ecosystem. Proficiency in front-end technologies, particularly with React. Evidence of building intuitive, responsive user interfaces that integrate seamlessly with AI-driven back-end services. Expertise in back-end development, with experience in building and deploying scalable APIs and microservices to support AI solutions. Knowledge of OAuth (Okta) for implementing secure, scalable authentication and authorisation mechanisms in full-stack applications, ensuring data protection and privacy across AI solutions. We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. UK - 135 Bishopsgate - London Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world’s financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Joining TP ICAP puts you at the heart of markets that matter. You’ll have the freedom to innovate and act on your initiative. We’ll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that’s there to set you up for success. TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group. Connections are at the heart of what we do. We combine our people’s know-how with the latest technology to improve price discovery, trade execution and liquidity flow. Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth. And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It’s what makes TP ICAP a mainstay in the global markets, now and in the future. TP ICAP. We connect. #J-18808-Ljbffr

We simulate societies: how thousands of specific individuals influence each other and form opinions across a multiverse of scenarios. The combinatorics are as hard as protein folding. Give 1,000 people a for-or-against position on 10 issues, and there are 10 3,000 possible group opinion states. DeepMind only has to model 10 300 ways a protein can fold. Searching that space fast enough to provide answers in hours, not months, is a frontier machine learning problem. To solve this, we are building a Societal World Model: an AlphaFold for societies. We are already informing strategies for clients with $3T+ in combined market cap. For a few seconds during one client simulation, we were 2% of Google’s global AI throughput. We’re looking for a Member of Technical Staff to advance the frontier of our societal foundation models, working across the stack to improve their training, evaluation, and deployment. You’ll design innovative methods to efficiently train models from real-world observations, reimagine how concepts like auto-regression and diffusion can capture human decision-making, and create the evaluation methodology that tells us how well our simulations match reality. You’ll work directly with our CEO and our growing research team, while partnering closely with product and forward-deployed engineers to move ideas from a research notebook into production. This role is for someone who wants to do frontier research at the intersection of machine learning and social science and is motivated by applying their work to the world’s most consequential decisions. • Train large-scale models. Apply frontier ML methods in supervised learning and natural language processing to develop state-of-the-art simulations of individuals, subgroups, and populations., • Ground models in data. Develop innovative methods to gather and learn from large-scale behavioural datasets., • Own evaluation and calibration methodology. Design the evals, benchmarks, and validation studies that measure simulation fidelity against real-world decisions, and make the results interpretable to the team., • Run experiments end-to-end. Hypothesis, infrastructure, training run, analysis, decision. Build the experimentation infrastructure that lets us iterate fast and trust the numbers., • Push the frontier. Write, critique, and publish academic content to frame how the world understands and evaluates synthetic research., • 5+ years of experience in an applied research or research engineering role., • Experience in post-training and evaluating LLMs: RL, dataset and reward design, synthetic data, or related training methods., • Demonstrated track record of success in deploying trained models in a commercial setting where they generated revenue., • Research literacy to navigate and push forward the frontier of ML research and its applications in behavioural science., • Python-strong: our simulation engine is Python-based, and this role lives in Python day-to-day., • Interdisciplinary experience in behavioural science, computational social science, psychometrics, statistics, complexity science, or a related empirical field., • AI-pilled: motivated to foster an environment where AI agents make meaningful contributions across the research, product-engineering, and commercial deployment stack., • Experience scaling an ML research team in an industry setting., • Location: London (Holborn), in-office. We build better together, and this role is no exception., • Salary: Competitive with lab market rates. If you want to work on something truly frontier, this is it. You’ll be working directly with some of the smartest people on the planet, on one of the hardest problems humanity has yet to solve. In a world on the brink of exponential, recursive change, there has never been a more important time to help society understand itself. #J-18808-Ljbffr

Zental is a boutique, fully private dental group with an Outstanding CQC rating and an exceptional 87% score in the latest Great Place to Work survey. Our practices are designed as calm, contemporary sanctuaries. Beautiful, spa‑like environments that allow you to focus on what matters most, delivering exceptional patient care. Our teams are hand‑selected for their warmth, skill, and genuine compassion. At Zental, you will feel supported, inspired, and proud of the work you do. This is a rare opportunity to join a state‑of‑the‑art private dental environment and work alongside some of the UK’s most experienced clinicians. Guided by CALM: Community, Authenticity, Leadership, Mindfulness; Zental offers a premium culture where kindness, excellence, and integrity shape every patient experience. You will thrive in a role built to support quality dentistry, not volume: • Caring for patients in a tranquil, beautifully designed environment, • Delivering high‑quality dentistry with the time and space to do your best work, • Collaborating with a multidisciplinary team of specialists, therapists, and nurses, • Working with advanced digital workflows and premium materials, • Leveraging our dedicated in‑house laboratory producing bespoke, high‑quality lab work, • Supported by experienced Treatment Coordinators and an exceptional practice team, • Building meaningful, long‑term patient relationships based on empathy and trust, • Backed by a leadership team that genuinely understands clinicians and their needs We are looking for more than technical excellence. We value clinical maturity, emotional intelligence, and integrity. • GDC registered with proven experience in UK private dentistry, • Confident managing straightforward and complex cases with strong clinical judgement, • A calm, reassuring manner with nervous or high‑expectation patients, • Committed to meticulous planning and long‑term outcomes, • Strong growth mindset with ambition to continually improve, • Collaborative, team‑oriented approach with clinicians and practice leadership, • Postgraduate experience in private practice, • Interest in mentorship, peer discussion, and continuous professional development, • Full clinical freedom to treat patients based on best practice and professional judgement, • Uncapped earning potential, rewarding excellence and dedication, • Dedicated Treatment Coordinators supporting ethical case acceptance and patient communication, • Strong, established marketing and brand strategies generating consistent premium consultations, • A collaborative, clinician‑centred brand‑building approach, • Purpose‑built practices equipped with advanced digital technology, • Robust clinical governance and effective, supportive complaints handling, • Access to mentorship, peer collaboration, and professional growth opportunities At Zental, our mission goes beyond dentistry, we help people live healthier, happier, and longer lives! We live by CALM, the values that define how we work and care for people: Community: We support one another and build uplifting, collaborative teams. Authenticity: We act with honesty, integrity, and compassion. Leadership: We take responsibility and maintain exceptionally high standards. Mindfulness: We stay calm, thoughtful, and solutions‑focused, even under pressure. If you are looking for an environment where your craft is respected, your wellbeing is protected, and your long‑term future is supported, we would love to hear from you. #J-18808-Ljbffr

High Skills Technician - Mechanical Engineering Uxbridge College has excellent facilities for the delivery of Engineering, and this is an exciting time to join our highly successful team. In the role of High Skills Technician for Mechanical Engineering, you will support our higher education delivery and the West London Institute of Technology, which offers a range of higher education programmes. You will work within the Mechanical Engineering area including the Materials Lab, Mechanical Science Lab and Project Lab. You will provide assistance to lecturers in preparing equipment and resources for teaching and learning, be responsible for maintaining tools and equipment to an efficient level, support/supervise students during practical tasks and carry out risk assessments, ensuring all aspects of health and safety are complied with. You will need to possess a degree in Mechanical Engineering and have experience with mechanical test equipment e.g. for material testing, fluid mechanics and mechanical principles. You will need to have a good understanding of health and safety requirements and have the ability to communicate and work effectively with young people. Please note, we are unable to offer sponsorship for this role. TPBN1_UKTJ

Job title: Applied ML Technical Lead, Defence Location: London; full in-office working as default Start date: ASAP Reports to: CEO Compensation: Salary and Equity options available for discussion Clearance: Must be eligible to hold UK Security Vetting Clearance SC or above (no prior clearance required) Application Deadline: 08/11/26 at 23:59 UK Time _ Cosine is a UK AI lab building models, applications and training infrastructure for mission-critical organisations. We build coding agents that work across real software systems, specialised Lumen models, AI-native security products and the infrastructure needed to deploy advanced AI in demanding environments. Our customers include some of the world's largest enterprises, including organisations operating behind strict security, regulatory and technical constraints. We're also training Lumen Sovereign, the first frontier large language model trained in the UK, with the support of the UK Government. We're now looking for an Applied ML Technical Lead to help develop and deploy advanced AI capabilities for organisations operating in UK Defence and national security. This is a hands-on technical leadership role. You will work across machine learning development, deployment and customer-facing technical delivery. You may spend part of your time training and evaluating models on complex sensor data, and part of your time working with Defence stakeholders to understand operational needs, shape priorities and guide delivery. You will not be expected to act as a traditional project manager. Instead, you will own the technical direction and day-to-day progress of applied ML work, coordinating the people and decisions needed to turn promising research into useful operational capability. _ Build ML capabilities for real Defence problems Design, build, train and evaluate machine learning models for challenging applied Defence and national security use cases. Work on problems involving complex sensor data, signal processing, pattern recognition, classification and multimodal intelligence. Develop and improve model architectures, training pipelines, evaluation frameworks and inference systems. Work with real-world and synthetic datasets to improve model accuracy, robustness and generalisation. Translate research prototypes into reliable, deployable capabilities that operate within demanding technical and security constraints. Work closely with Cosine's ML research and engineering teams while taking direct ownership of technical outcomes. Lead technical delivery from prototype to deployment Own the technical direction and day-to-day progress of applied ML projects. Turn operational objectives into concrete technical goals, experiments, milestones and success measures. Coordinate work across ML researchers, software engineers, infrastructure teams and external stakeholders. Identify technical dependencies, delivery risks and blockers, and help drive them to resolution. Establish clear evaluation criteria and demonstrate progress through measurable improvements and working capabilities. Balance hands-on engineering with the planning and coordination needed to keep complex technical work moving. Work directly with Defence customers Engage with technical and operational stakeholders across the UK Defence and national security ecosystem. Understand operational challenges and identify where machine learning can make a meaningful difference. Translate customer requirements and constraints into technical objectives, datasets, experiments and delivery plans. Present technical progress, demonstrate working capabilities and communicate results clearly to technical and non-technical audiences. Build trusted relationships with Defence stakeholders and act as a credible technical counterpart. Help customers understand the practical considerations of integrating and deploying ML systems in their existing environments. Turn research into operational capability Help deploy ML models into real-world environments, including secure, on-premise and resource-constrained systems. Work on model optimisation, inference performance, integration and reliability. Develop robust approaches to evaluation, validation and continuous model improvement. Understand data availability, access requirements, security restrictions and deployment constraints. Establish feedback loops between operational users and Cosine's engineering teams. Ensure that what we build is not only technically impressive, but genuinely useful to the people relying on it. _ You’ll probably have a background in applied machine learning, ML engineering, research engineering or a similarly technical role, along with experience taking ownership of complex technical work. You should be comfortable: Writing production-quality Python and working with modern ML frameworks such as PyTorch. Building, training, fine-tuning and evaluating machine learning models. Working with complex datasets, designing experiments and interpreting model performance. Understanding the trade-offs between model performance, compute requirements, latency and deployment constraints. Working with engineering infrastructure, including Git, containers, Linux and GPU compute. Taking technical ownership of projects with multiple stakeholders, uncertain requirements and evolving priorities. Communicating technical concepts clearly to researchers, engineers, senior stakeholders and operational users. Moving between model development, customer discussions and delivery planning without losing technical depth. Making sound technical judgements, prioritising effectively and finding practical solutions when the path forward is unclear. You don't need to have worked in Defence before. You do need to be excited by the opportunity to apply advanced ML to difficult, consequential real-world problems. Nice to have Existing UK security clearance, such as SC or DV, or previous experience working in secure Defence environments. Experience with signal processing, time-series data, sensor fusion, representation learning or machine learning applied to complex real-world datasets. Experience with foundation models, multimodal learning or advanced model training and post-training techniques. Experience deploying ML models to edge devices or constrained compute environments. Familiarity with UK Defence procurement, technical assurance or the national security landscape. Experience leading technical workstreams or working as a technical lead on customer-facing ML projects. _ In your first three months, we would expect you to: Become the technical lead for a major applied Defence ML programme, with responsibility for its day-to-day technical progress. Build strong working relationships with Cosine's ML researchers, engineers and key Defence customer stakeholders. Develop a clear understanding of the existing models, datasets, technical architecture and operational objectives. Establish a focused delivery plan with clear priorities, milestones, ownership and success measures. Make meaningful hands-on contributions to model development, evaluation or deployment. Identify and begin addressing the most important technical and operational blockers. Demonstrate tangible progress to customer stakeholders and build confidence in Cosine's ability to deliver. Longer term, you’ll help take advanced ML capabilities from promising prototypes into operational use, while shaping how Cosine builds and delivers applied AI for Defence and other mission-critical organisations. _ Some of the most important applications of AI won't be found in consumer products. They'll be in environments where information is incomplete, systems are complex, security matters and the consequences of getting things wrong are significant. Cosine is working to bring frontier machine learning into those environments. Doing that requires more than good models. It requires people who can understand an operational problem, build something that works, make good technical decisions, coordinate the work needed to deliver it and stay close to the customer until it creates real value. You’ll have unusual proximity to cutting- edge ML research, senior Defence stakeholders and the operational challenges that will shape the next generation of AI capabilities. This role will suit someone who is technically strong enough to build, organised enough to lead technical delivery and curious enough to engage directly with the people using the technology. If you enjoy being close to the research, close to customers and personally accountable for turning ambitious technology into something real, come and work with us. Come help make frontier AI useful where it matters most. _ We value diverse backgrounds, perspectives, and ways of thinking, and we’re committed to creating an inclusive and respectful workplace. We encourage applications from anyone who meets the role requirements, even if you don’t meet every single qualification. If you need reasonable adjustments at any stage of the hiring process, we’re happy to discuss them. _ We’re an in-office team, five days a week, by design. We believe the work we’re doing benefits from being together, collaborating closely, and building shared context. What you can expect: Competitive salary, benchmarked to the market Equity / share options, so you share in the upside you help create 30 days’ holiday + bank holidays Work hard in the office, collaborate closely, and switch off properly Dog-friendly office — bring your dog to work Weekly team breakfast & lunch Monthly socials Pension High-quality equipment to do your best work We care about focus, sustainability, and doing great work — not performative overwork. We value people who show up, contribute thoughtfully, collaborate well with their colleagues, and then go home. This role won’t suit everyone. But if you’re looking for a fast-moving environment, close collaboration, and a team that takes both the work and work-life balance seriously, it’s a great place to be. _ #J-18808-Ljbffr

Contract: Full-time, permanent Location: Hybrid (London office) Level: 2-4 years professional experience Salary: £70K+ depending on experience Materiom's mission is to create a world where materials regenerate nature and support human health. We pursue it by building data and AI tools that help discover natural alternatives for packaging, textiles, and the built environment. We support innovators around the world to bring these new materials to market. We're an interdisciplinary team bringing together materials engineering, computational materials science, AI/ML engineering, and business innovation. In 2026, we're at an inflection point: with advanced AI and a self-driving lab, we are accelerating the discovery of natural materials and supporting innovators across the sector. This is a high-impact role with the potential to apply leading AI/ML to one of the world's greatest challenges. We're looking for a mid-level AI Engineer to work at the intersection of applied ML and applied AI; someone equally comfortable developing predictive models on structured scientific data as they are with building LLM-powered tools and agentic workflows. You'll work within our tech team to contribute across two primary workstreams: • Predictive modelling & representation learning: contribute to the development and operationalization of ML models that learn the high-dimensional, multi-objective, natural polymers design space., • Material discovery agentic systems: contribute to the development and evaluation of agentic systems for scientific discovery, interfacing with Materiom's models, simulation capabilities, and internal and external self-driving labs. ML modeling • Design, build, and deploy structure-property prediction ML models of bio-based formulations from experimental, in-silico and literature-mined data. In pursuit of a base model that generalizes across materials systems., • Run rigorous experiments to compare modelling approaches, interpret results clearly, and iterate toward quality goals., • Quantify how confident models are in their predictions, and use that to decide which experiments or simulations to run next., • Work with materials scientists to define new features and target properties, data standards and success criteria for each model. Agents for materials discovery • Contribute to Materiom's agentic stack for scientific discovery, ranging from hypothesis generation to closing the loop with Materiom's SDL and simulation engine., • Build tool interfaces, such as MCP servers, that give scientists and agents structured access to internal and external resources such as Materiom's databases, predictive models, simulation engine and lab instruments., • Track developments in AI for science and agentic research, and prototype promising methods against Materiom's use cases. MLOps • Develop, operate and maintain workflows for data extraction, model training & evaluation, and orchestration workflows against lab equipment/partners., • Contribute to LLMOps and MLOps best practices, including versioning, monitoring, evaluation, cost/quality optimisation., • Deploy ML/AI-driven tooling to project partners, pilot users and beyond in order to gather user feedback. Internal & external-facing collaboration • Effectively communicate complex technical concepts and findings to multidisciplinary audiences., • Work closely within the tech team and stay closely attuned to product and scientific priorities, translating them into well-scoped technical work. You'll need: • Genuine excitement about the potential of transforming the materials sector through AI-enabled materials discovery of breakthrough bio-based alternatives., • Solid grounding in ML fundamentals: statistical learning, neural networks, optimisation, model selection and validation, uncertainty estimation, and working with small, noisy or imbalanced datasets., • Practical experience developing ML-powered systems end to end, from data curation, collection and preparation to model choice and hyperparameter tuning, to model deployment. You have experience with PyTorch, scikit-learn, MLFlow, etc., • Practical experience building LLM-based agents, improving them through metrics-driven evaluation, ideally including research loops where agents propose, run and evaluate experiments to optimise agent performance or to develop ML models. You have experience with e.g. PydanticAI, CrewAI, Google ADK etc., • Familiarity with at least one advanced deep learning technique such as geometric learning (equivariant GNNs), spatio-temporal techniques (SSMs, neural ODEs), world models (JEPA, latent dynamics models), language modeling (chemical and protein LMs), diffusion models, or physics-informed neural networks (PINNs)., • Master's degree in a technical field (e.g., Computer Science, Artificial Intelligence, Machine Learning), plus 2 to 4 years of professional experience in an AI start up environment., • Strong Python skills and good software engineering habits: version control, testing, reproducible pipelines., • Familiarity with a major cloud platform (e.g. GCP, AWS)., • Experience working in an environment that translates well into a small startup setting. You have high agency & autonomy in an ambiguous environment. You thrive at shipping progress without needing everything defined upfront. Useful but not required: • Proficiency in getting ML/AI-centric artefacts in front of users for obtaining real-world feedback., • Experience with active learning or closed-loop experimentation workflows., • Familiarity with scientific data from chemistry, materials science, or adjacent domains., • Experience with relevant open-source frameworks., • Background in or genuine curiosity about bio-based materials or sustainability. Materiom is an impact-focused startup offering a supportive and flexible environment where you can drive the acceleration of net-positive materials using cutting-edge technology. Our benefits include • Competitive Salary: An annual salary range of £70K+, commensurate with your experience and expertise., • Annual Bonuses: Eligibility for performance-based bonuses to reward your contributions to the company’s success., • Generous Paid Time Off: 30 days of paid holiday per year for full-time positions (adjusted pro-rata for part-time positions), in addition to all UK bank holidays., • Learning & Mentorship Grants: An annual individual budget dedicated to developing your hard and soft skills., • Commuter Support: Access to a Bike2Work scheme to support sustainable travel., • Flexible Hybrid Working: A highly flexible scheme that includes weekly days at the office (London) and at home, as well as options for temporary remote work., • International Retreats: Regular company retreats, often held in international locations, to build connection and celebrate progress., • Collaborative team culture: Our culture is defined by deep, interdisciplinary collaboration, offering you the exciting opportunity to work at the intersection of materials science and AI to drive positive impact for people and the planet #J-18808-Ljbffr

Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. We’re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable abundance for a growing planet. The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data. We built Orbital to change that. It’s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls. We’ve raised over $32 million, including one of the largest seed rounds for an AI company in the UK. We’re just getting started As our Data Engineer, you’ll architect and maintain pipelines that make high-frequency time-series, lab, and historian data into a scalable Lakehouse architecture, usable for both deep learning models and real-time LLMs. You’ll be working across AWS (EKS, S3, EBS, KMS, CloudWatch) and Databricks/PySpark, ensuring data is contextualised, synchronised, and optimised for both deep learning models and real-time LLM workloads. This isn’t a traditional ETL role, you’ll be solving problems at the intersection of control systems, industrial data engineering, and AI enablement. • Deep expertise in PostgreSQL (partitioning, indexing, query optimisation, storage design)., • Strong proficiency in Python for data processing, scripting, and pipeline orchestration., • Hands-on experience with AWS (EKS, S3, EBS, IAM, KMS, CloudWatch, etc.)for secure and scalable data pipelines., • Proven ability to work with Databricks and PySpark for large-scale distributed data processing., • Familiarity with time-series industrial data (control systems, DCS/SCADA logs, process historians)., • Experience in unstructured data sync and management within hybrid cloud/on-prem environments., • Bonus: Experience working as a data engineer in oil and gas or energy environments, • Bonus: Knowledge of streaming frameworks (Kafka, Flink, Spark Streaming) or MLOps stacks for data versioning and lineage. 1. Ingest & Contextualise Data • Ingest from OPC UA servers, process historians, IoT sensors, LIMS systems, alarms/events, and P&IDs., • Map signals to their physical processes (tags, units, hierarchies) for interpretability in AI pipelines. 1. Data Movement & Accessibility • Build pipelines that handle real-time streaming and batch ingestion into the Lakehouse., • Manage synchronisation between historian archives, unstructured files, and AWS storage (S3/EBS)., • Orchestrate Databricks Lakeflow/Connectors for integrating data into Lakebase/Lakehouse., • Handle secure, high-throughput transfers between historian archives and sandbox/live environments. 1. Change Tracking & Integrity • Detect and manage schema changes, signal drift, and inconsistencies acrosstime., • Implement lineage and audit trails across Spark/Databricks and AWS pipelines. 1. Data Preparation for AI • Build and maintaindual pipelines:, • Training→ large-scale historical data prep for time-series + LLM training., • Inference→ low-latency, real-time pipelines for anomaly detection, optimisation, and LLM search., • Support heterogeneous AI workloads (time-series forecasting and retrieval-augmented LLMs). 1. Database Performance & Optimisation • Tune PostgreSQLand sparkfor high-throughput time-series workloads (partitioning, indexing, query optimisation)., • Optimise pipelines for both fast analytical queries and high-efficiency model training., • Deploy and manage data pipelines in AWS EKS (Kubernetes) with persisten tEBS-backed storage., • Live data streams are contextualised,queryable, and AI-ready., • Schema changes and signal drift are detected and handled without breaking downstream workflows., • Training and inference pipelines run smoothly in parallel, optimised for scale and latency. #J-18808-Ljbffr

Odyssey is an AI lab pioneering general world models: causal, multimodal systems that learn to predict and interact with the world over long horizons. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond. Odyssey’s founders previously pioneered the most complex application of physical AI: self-driving cars. They’ve now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD). Odyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In-Q-Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines. Odyssey is hiring a VP of Research to lead and grow our Frontier ML group, the researchers working at the cutting edge of world model capability, responsible for the first proof points of new algorithms and for pushing the frontier of what world models can do. This is a role for someone who wants to both set the research agenda and stay hands‑on enough to shape it directly, not manage from a distance. You’ll own Odyssey's research agenda across world simulation, multimodality, robotics, and multi‑agent systems, define and execute the vision that positions Odyssey as the leading voice in world models, and take responsibility for the research roadmap, publication strategy, and external research reputation of the company. You’ll report directly to Jeff Hawke, our Co‑Founder and CTO, and work alongside James Grieve (VP, Applied ML), Fabian Güra (Distinguished Engineer), and a VP of Engineering we’re hiring alongside you. Leading and growing the Frontier ML research group, hiring, mentoring, and developing researchers at every level. Owning and driving Odyssey's research agenda across world simulation, multimodality, robotics, and multi‑agent systems. Defining and communicating a research vision ambitious enough to position Odyssey as the leading voice in world models, one that attracts top talent to the field and to us specifically. Setting the research roadmap and publication strategy, and representing Odyssey's research externally to the broader community. Collaboration across disciplines with other VP‑level leaders, driving forward Odyssey’s holistic top‑level strategy. Staying close enough to the work to directly run experimentation yourself, not just manage others doing it. 10+ years of research experience with a strong publication record at top ML venues (NeurIPS, ICML, ICLR, CVPR, and similar). Deep technical expertise in at least one of generative video models, world models, multimodal learning, reinforcement learning, or robotics. A track record of leading and growing research teams, including mentoring researchers at all levels, not just senior hires. Demonstrated ability to set a research vision that shapes a field and pulls talent toward it. A track record of generating frontier results yourself, not only managing the people who generate them. Comfortable in a fast‑paced, high‑ambiguity environment; startup experience preferred. Equally comfortable partnering with ML Platform, Applied ML, and compute and infrastructure teams as with your own researchers. Willing to be in the office 3+ days a week, ideally full-time, based in London or, alternatively, Palo Alto. Genuinely motivated by Odyssey's mission to discover the GPT‑3 moment for world models, not just intellectually curious about it. #J-18808-Ljbffr

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND-01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further. We are looking for a Software Engineer to join our Control Team in London. You will own how we measure control quality - per robot and across the fleet. Today, judging whether a change made the robot better is still too often an engineer's opinion after a few runs. You will replace that with numbers: reproducible, automated, trusted numbers that say whether a release is better than the last one, whether one robot behaves like another, and whether a fleet is ready for a pilot. This is a software engineering role, not a control design role. You do not need to derive a whole-body controller. You do need real robotics experience, strong engineering discipline, and genuine interest in the physics of what you are measuring - the control engineers bring the theory and will rely on you to tell them the truth about their code. Control Quality Metrics Turn qualitative concerns about control quality - smoothness, latency, tracking error, accuracy, and the like - into precise, computable metrics, and build the pipelines that compute them consistently from recorded robot data, simulation runs and live telemetry. Own metric definitions and versioning so a number measured today is comparable with the same number measured six months from now. Evaluation & Test Infrastructure Develop automated test harnesses that evaluate control releases deterministically - reproducible, run-to-run comparable, free of the hidden state that makes hardware testing unreliable. Wire control evaluation into CI across simulation and hardware-in-the-loop, with pass/fail thresholds so regressions are caught automatically rather than discovered on a customer site. Build the tooling that lets engineers compare controller variants and releases side by side. Fleet-Level Control Quality Build the per-robot and per-fleet test suites that establish whether each robot meets the expected control performance bar - runnable by other teams without controls support. Track control quality over time and across units - drift, per-robot variation, degradation - and own the path from robot to metric, including the dashboards that make control health legible. Robotics experience on real systems - you understand robot data, timing and synchronisation, and the many ways hardware experiments go wrong. Strong Python, plus enough modern C++ to work confidently inside a real-time control codebase and instrument it. Built test automation, evaluation frameworks or benchmarking infrastructure for complex systems - and got other engineers to actually use them. Solid measurement and data analysis judgement: sampling, noise, statistical significance, and knowing when a difference between two runs is real. Experience with robot middleware and data formats (ROS/ROS2, message recording and replay, time sync), CI/CD pipelines and Git-based workflows. Nice to have: Familiarity with robot kinematics and dynamics, or prior exposure to control systems — enough to hold an informed conversation about what you are measuring. Hardware-in-the-loop test rigs and physical regression testing. Physics simulation environments (MuJoCo, Isaac Sim/Isaac Lab) and sim-to-real validation. Operating or supporting a fleet of robots or other distributed physical devices. Data engineering: pipeline orchestration, time-series databases, large-scale log processing. Release management or quality gates for safety-relevant software. Competitive equity: stock options with meaningful upside as we scale. 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown). Private healthcare, including virtual and in-person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office. Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one. #J-18808-Ljbffr

At Klyk, we are building the world's first AI-Enabled IT Operating System for modern, high-growth businesses. Our mission is simple yet radical: to remove both friction and waste from IT operations entirely, keeping growing teams in their creative flow—and electronic waste out of landfills. By packaging our deep IT expertise into a powerful, scalable SaaS stack that lives natively inside Slack and MS Teams, we automate and resolve employee IT issues instantly right where they already work. At the exact same time, our platform seamlessly coordinates the physical world: provisioning premium refurbished hardware, tracking software and hardware assets from delivery to retirement, and enforcing enterprise-grade, zero-trust cybersecurity at the click of a button. We are already a proud Certified B Corp trusted by some of the UK’s most impactful and high-growth organisations—including B Lab UK, Wild, THIS, SURI, Bloom & Wild, OLIO, Oddbox, and Field Energy. With our AI service desk app live in Beta and an eager pipeline of pilot customers waiting to deploy right now, we are actively looking to scale our sustainable, automation-powered ecosystem. But what truly drives us is a deeply human mission: we are working to eradicate digital poverty. We believe that access to technology is a fundamental right, yet millions of young people remain locked out of the digital world. Every cycle of hardware we manage feeds directly into this goal—we refurbish and donate high-quality devices to children living below the digital poverty line. By joining Klyk, you aren't just building a SaaS platform; you are directly helping to bridge the digital divide and place the tools for a brighter future into the hands of the kids who need them most. We're looking for a Founding Engineer with strong full-stack experience to build and shape the Klyk platform from zero-to-one. This is a foundational position with significant autonomy. Joining as our founding software engineer, you will work directly alongside Ali Sarraf (Cofounder & CPTO) to take our product to the next level, scale our systems, and build out core features for our pilot pipeline. As an early technical hire, you will influence everything from architecture and tooling to engineering culture and long-term product direction. Expect variety, ownership, and the opportunity to help define how a modern, sustainable IT platform should work. This role suits someone who thrives in early-stage environments, enjoys solving ambiguous problems, and wants to work on meaningful technology that has both business and environmental impact. • Location: Our office in London, Acton (with a hybrid working culture), • Start: ASAP, • Design and implement foundational features across our internal and customer-facing tools., • Build systems that improve operational efficiency, elevate customer experience, and support our sustainability mission., • Help define our technical strategy, architecture, and best practices., • Work closely with Support, Ops, Cyber, Sales, and Leadership to understand pain points and opportunities., • Translate real business needs into simple, scalable products and internal workflows., • Contribute to a unified, forward-looking platform that connects all parts of the business., • Help shape the product roadmap with a builder’s mindset as we transition from Beta to full market launch., • Own projects end-to-end - from the user-facing Slack/Teams integrations to back-end AI workflows., • Bring creativity, technical insight, and initiative to everything we build., • Identify inefficiencies in our internal systems and design better ways of working., • Evaluate and integrate third-party tools to enhance performance and scale., • Use AI and automation thoughtfully to streamline operations and support the business., • Have 5+ years of software engineering experience with a strong, proven track record across the full stack., • Have strong experience in TypeScript and Nest.js., • Possess a strong track record of solving difficult problems in either an academic or industrial setting., • Have a demonstrated track record displaying the ability to manage engineering workflows (e.g. building robust and scalable products and working with customers, etc.), • Have experience working with cloud infrastructure providers and database technologies (e.g. SQL/no-SQL)., • Are excited by zero-to-one building, high ownership, and working closely with a small, high-velocity founding team., • Can work seamlessly across the stack and learn quickly in unfamiliar areas., • Enjoy turning loosely defined problems into clear, practical solutions., • Communicate clearly in writing and async, and value collaboration., • Care about sustainability and want your work to have real-world impact., • Are comfortable in fast-moving, unstructured environments and are based in, or willing to relocate to, London., • Have experience building Slack and Teams applications., • Experience in IT systems, or cybersecurity., • Experience in device lifecycle management or IT support., • Purpose-driven work: Make a measurable impact on reducing e-waste and transforming how businesses use technology., • Build something meaningful: Help create the platform that powers a new generation of sustainable, automated IT services., • Autonomy and trust: Work directly with Ali (CPTO) and the founding team to influence decisions from day one., • Continuous learning: Get exposure to product strategy, operations, AI workflows, and the realities of building a fast-growing tech business., • Values-led culture: As a B Corp, we prioritise flexibility, fairness, environmental impact, and long-term thinking. If the idea of building something new, scrappy, and impactful excites you - then you'll thrive at Klyk. We appreciate not everyone will have absolutely everything listed above, but if you think you could be a great fit for us. We know that the best ideas come from a team with varied perspectives and experiences. Inclusion is core to our mission. We are committed to building a kind and inclusive workplace where everyone is empowered to grow and succeed. #J-18808-Ljbffr

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience., • 8 years of software development experience, including system design, data structures, and algorithms., • 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)., • 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role., • 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field., • Experience with generative AI research or applications., • Experience evaluating model performance, analyzing results, and implementing improvements., • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc., • Experience in developing and shipping software products rapidly., • Contributions to open-source projects. In this role, you will lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and Google customers. You will be instrumental in translating AI research into real-world products, and demonstrating the capabilities of latest generation models. You will be building and shipping software, and leading engineering teams, ideally with some experience in early‑stage environments, where you may have contributed to scaling products from initial concept to production. You will drive product and business impact, and develop strong relationships with research teams. You will be a passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high‑quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. • Lead a team in the design, development, and deployment of scalable generative AI applications and advocating industry best practices., • Lead the team through the rapid development of new features, iterating based on evaluation results while mentoring members to cultivate a collaborative and high-performing environment., • Collaborate with researchers and product managers to translate research advancements into tangible product features., • Oversee the optimization of software performance and ensure the reliability of deployed applications., • Lead the architecture and development of new products and features from 0 to 1. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . #J-18808-Ljbffr

We're working with a leading foundational AI lab to find experienced DevOps engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks. We're working with a leading foundational AI lab to find experienced DevOps engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks. We're looking for DevOps engineers with 4+ years running or reviewing production incidents to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: blameless postmortems and root-cause analyses, on-call runbooks, severity and escalation write-ups, SLO and error-budget reports, remediation action-item trackers, and reliability review decks. Compensation: $80/hour Commitment: Flexible, 5-20 hours per week (or more if desired) Location: Fully remote, work on your own schedule Start date: ASAP • 4+ years as a Site Reliability Engineer, Incident Commander, or production/on-call engineering lead, • Direct ownership of writing or reviewing blameless postmortems and root-cause analyses, • Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities. • 4+ years as a Site Reliability Engineer, Incident Commander, or production/on-call engineering lead, • Direct ownership of writing or reviewing blameless postmortems and root-cause analyses, • Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail #J-18808-Ljbffr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world‑class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step — our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us. At Cognition, customers are our highest priority. Deployed Engineers (DEs) are customer‑facing technical experts who help our customers maximize the value they get out of Devin/Windsurf. You’ll work directly with engineers to understand their workflows, identify high‑impact use cases, and deploy Devin/Windsurf into real production environments. You’ll lead demos and pilots, support integrations, and drive adoption of the Cognition platform from the inside out. This role combines hands‑on technical work, customer partnership, and rapid execution. You'll serve a broad range of clients, switching context frequently and staying ahead of issues before they become blockers. You're expected to be proactive, make judgment calls, and take ownership of outcomes. • Own all technical aspects of the customer lifecycle—from deployment through activation, making sure our customers are successful using Devin, • Work closely with customers to understand their technical challenges and identify the best use cases for Devin to be a productive contributor, • Build deep relationships with our customers’ engineering teams to ensure smooth product integration and adoption, activating top users and driving product utilization, • Build! Always listen to customer feedback, have a bias towards implementing requested features yourself, and advocate for the customers’ needs with the rest of the team, • Be the customer oracle! Exercise your product instincts to help set the roadmap, • Customer empathy — you care deeply about how engineers work and what helps them succeed, • Ownership mindset — you take responsibility for results, not just tasks, • Technical curiosity — you enjoy digging into unfamiliar systems and understanding how they really work, • Bias toward execution — you move quickly from problem to solution, • Grit — you’re comfortable operating in ambiguous, high‑intensity environments, • Exploratory rigor — You poke at edges, ask uncomfortable questions, and would rather find problems yourself than have them find you., • Strong engineering foundation from a rigorous technical environment, • Demonstrated track record of exceptional performance in whatever you've pursued, whether academic, athletic, professional, or entrepreneurial, • Self‑directed by default. You don't need a manager to tell you what to do next or how to prioritize., • Strong communication skills. You can hold your own with senior engineers and executives alike., • Have a high tolerance for ambiguity, intensity, and sustained effort when the problem demands it.Willingness to travel 25–50%, • Advanced in at least one modern programming language (e.g., Python, TypeScript), • Experience writing and debugging real software systems, • Want to work directly with real users on high‑impact technical problems, • Learn quickly by being embedded in challenging, real‑world environments, • Have worked at an early‑stage startup or in a role where you operated well beyond your job description Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any. #J-18808-Ljbffr

Job Title: Solution Architect (API Lab & Marketplace Focus) Location: London / Edinburgh Job Type: Full-time At Lloyds Banking Group, we're helping Britain prosper by transforming the way technology enables our customers, colleagues, and businesses. Through strategic we’re creating scalable, secure, and resilient services that power some of the UK's most important financial journeys. Within Lloyds Banking Group, the API Lab sits at the heart of our API and Digital Services Platform. Our mission is to enable teams across the Group to discover, build, deploy, and reuse high-quality APIs safely and at scale. We provide the products, standards, and services that underpin our API ecosystem, helping engineering teams accelerate delivery whilst meeting enterprise standards for security, resilience, and governance. The API Lab is a key enabler of the Group's move towards a more federated operating model, empowering platforms to innovate independently while maintaining consistency and quality across the organisation. The API Marketplace Team is responsible for one of the API Lab's flagship products: the API Marketplace. Acting as the front door for API discovery and consumption across the Group, the Marketplace enables colleagues to discover, reuse, and subscribe to APIs exposed on Lloyds Banking Group's strategic gateways across both private and public cloud environments. Our vision is to create a world-class digital marketplace that drives API reuse, reduces duplication, accelerates time to market, and empowers teams through self-service capabilities and federated ownership. We are continually evolving the platform through innovations in discoverability, automation, cloud-native architecture, AI-enabled experiences, and improved developer journeys, making it easier than ever for teams to connect, collaborate, and deliver customer value. Joining our team means working at the forefront of API strategy, cloud architecture, platform engineering, and digital transformation—helping shape how thousands of colleagues build and consume services across one of the UK's largest financial institutions. We are seeking an accomplished and visionary Solution Architect to join our dynamic API Lab team. In this pivotal role, you will be accountable for all architectural decisions related to our Marketplace platform, guiding its #J-18808-Ljbffr

Genesis AI is a cutting-edge physical AI research lab and full-stack robotics company in London.We are hiring researchers, software engineers, and robotics engineers to build a universal robotics foundation model and shape our hiring playbook for years to come.You will own end-to-end recruitment for

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND-01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further. We are looking for a Software Engineer to join our Control Team in London. You will own how we measure control quality - per robot and across the fleet. Today, judging whether a change made the robot better is still too often an engineer's opinion after a few runs. You will replace that with numbers: reproducible, automated, trusted numbers that say whether a release is better than the last one, whether one robot behaves like another, and whether a fleet is ready for a pilot. This is a software engineering role, not a control design role. You do not need to derive a whole-body controller. You do need real robotics experience, strong engineering discipline, and genuine interest in the physics of what you are measuring - the control engineers bring the theory and will rely on you to tell them the truth about their code. Control Quality Metrics Turn qualitative concerns about control quality - smoothness, latency, tracking error, accuracy, and the like - into precise, computable metrics, and build the pipelines that compute them consistently from recorded robot data, simulation runs and live telemetry. Own metric definitions and versioning so a number measured today is comparable with the same number measured six months from now. Evaluation & Test Infrastructure Develop automated test harnesses that evaluate control releases deterministically - reproducible, run-to-run comparable, free of the hidden state that makes hardware testing unreliable. Wire control evaluation into CI across simulation and hardware-in-the-loop, with pass/fail thresholds so regressions are caught automatically rather than discovered on a customer site. Build the tooling that lets engineers compare controller variants and releases side by side. Fleet-Level Control Quality Build the per-robot and per-fleet test suites that establish whether each robot meets the expected control performance bar - runnable by other teams without controls support. Track control quality over time and across units - drift, per-robot variation, degradation - and own the path from robot to metric, including the dashboards that make control health legible. Robotics experience on real systems - you understand robot data, timing and synchronisation, and the many ways hardware experiments go wrong. Strong Python, plus enough modern C++ to work confidently inside a real-time control codebase and instrument it. Built test automation, evaluation frameworks or benchmarking infrastructure for complex systems - and got other engineers to actually use them. Solid measurement and data analysis judgement: sampling, noise, statistical significance, and knowing when a difference between two runs is real. Experience with robot middleware and data formats (ROS/ROS2, message recording and replay, time sync), CI/CD pipelines and Git-based workflows. Nice to have: Familiarity with robot kinematics and dynamics, or prior exposure to control systems — enough to hold an informed conversation about what you are measuring. Hardware-in-the-loop test rigs and physical regression testing. Physics simulation environments (MuJoCo, Isaac Sim/Isaac Lab) and sim-to-real validation. Operating or supporting a fleet of robots or other distributed physical devices. Data engineering: pipeline orchestration, time-series databases, large-scale log processing. Release management or quality gates for safety-relevant software. Competitive equity: stock options with meaningful upside as we scale. 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown). Private healthcare, including virtual and in-person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office. Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one. #J-18808-Ljbffr

Applied Computing is seeking a Data Engineer to architect and maintain pipelines turning high-frequency time-series, lab, and historian data into a scalable Lakehouse for deep learning and real-time LLM workloads. You will work across AWS (EKS, S3, EBS, KMS, CloudWatch) and Databricks, ensuring data is contextualised, synchronised, and optimised for AI workloads while solving problems at the intersection of control systems, industrial data engineering, and AI enablement. #J-18808-Ljbffr

A pioneering biotech company in Greater London seeks innovative individuals to enhance lab automation systems. You will be part of a dynamic team, focusing on solving real-world problems in biotechnology.

Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND-01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. As a Senior Prototype Engineer on the Core Platform team, you will rapidly iterate, assemble, diagnose, and evolve advanced robotic platforms for real-world use. In this hands‑on role, you'll drive results across the full hardware lifecycle - concepting, prototyping, root-cause analysis, documentation, and field repair with a strong emphasis on reliability and repeatable processes. Lead troubleshooting and resolution of complex electrical issues in prototype humanoid robots, including operational and in-development systems; perform detailed failure analysis and share learnings with hardware/software engineering teams. Collaborate closely with multidisciplinary engineers on prototype design, assembly, and bring-up, especially high-density electromechanical integrations. Create, maintain, and execute clear test procedures, troubleshooting guides, and repair runbooks for the prototyping lab to ensure high standards and rapid iteration cycles. Design, document, and iterate on cable assemblies, test jigs, and harnesses optimized for repeated use on dynamic robotic platforms. Identify and own opportunities for continuous process and product improvement—minimizing downtime and improving test/repair efficiency. Contribute to robust feedback loops across design, build, and test, driving first-pass yield and manufacturability. Demonstrated experience in rapid physical prototyping, hands-on debug of custom hardware, and troubleshooting complex electrical systems in robotics or similar domains. Working knowledge of low-voltage and mixed-signal circuits, connectors, sensors, and compact electromechanical systems. Track record communicating concisely via documentation—procedures, test plans, diagnostics, and lessons learned. Adept collaborating across mechanical, electrical, and software engineering boundaries to solve urgent, ambiguous issues. Comfortable in a high-velocity, high-ambiguity startup setting where priorities shift fast. Experience designing for manufacturability and reliability in the context of human-sized or mobile robotics. Familiarity with automated test and diagnostic tools used in modern hardware labs. Prior mentoring or technical leadership responsibility within a prototyping or field engineering team. Competitive equity: stock options with meaningful upside as we scale. 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown). Private healthcare, including virtual and in-person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office. Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one. #J-18808-Ljbffr

At OQC, we aren’t just theorising about the future; we’re building it. Born from a philosophy of bold innovation, we’ve successfully transitioned quantum computing from an academic dream into a commercial reality. The most exciting thing is that we’re just getting started and we’ve recently closed our £260 million Series C funding round – the largest fundraise ever completed by a quantum computing company in Europe. As Lead Platform Engineer, you'll set the technical direction for OQC's hybrid compute platform—the architecture connecting classical and quantum resources into a single, extensible system. You'll design the foundations that enable product teams to run secure, observable and repeatable workloads across CPUs, GPUs, simulators and QPUs. Based in London, this is a senior, hands‑on individual contributor role with significant ownership of OQC's hybrid compute architecture. You'll define stable interfaces across diverse compute resources, make critical architectural decisions and establish the engineering standards that allow the platform to scale. You'll work across Product, Engineering, Commercial and leadership teams, while leading integrations with technologies and environments including Dell/AMD infrastructure, Databricks and QPU systems. You'll provide technical leadership without stepping away from the engineering—remaining close to the architecture, code and complex systems challenges that underpin the platform. • Own the architecture and technical direction of OQC's QAIDC hybrid spine, Hybrid IR, device-capability model and execution-record contracts., • Design stable abstractions across CPUs, AMD GPUs, simulators and QPUs, enabling workloads to move reliably across classical and quantum resources., • Architect capability matching, task orchestration, fallback mechanisms, policy enforcement and backend adapters across the platform., • Set engineering standards for reliability, security, testing, observability and extensibility while remaining highly hands‑on with implementation., • Lead integrations with Dell/AMD infrastructure, Databricks, QPU systems and customer environments., • Coordinate technical contributors across Product, Engineering, Commercial and leadership teams, turning complex requirements into clear priorities and technical decisions., • Shape the platform for long-term evolution, ensuring today's architectural choices can support new compute resources and increasingly sophisticated hybrid workloads., • Significant experience as a senior distributed‑systems architect or engineer building compute platforms, orchestration systems, ML infrastructure or similarly complex distributed technology., • Deep hands‑on engineering expertise in Python, Go or Rust., • Strong experience designing APIs, containerised systems and event‑driven architectures., • Experience with Kubernetes, Slurm or comparable workload orchestration technologies., • Strong understanding of security and observability within distributed platforms., • Proven ability to design stable interfaces across heterogeneous compute or hardware resources., • The technical depth to set architectural direction while remaining highly hands‑on with engineering and implementation., • Strong ownership and communication skills, with experience working effectively across multiple technical and commercial disciplines., • Degree or equivalent practical experience in Computer Science, Software Engineering or a related discipline., • Experience building enterprise platforms, data products or technology for regulated customer deployments., • Familiarity with quantum computing or hybrid classical‑quantum products., • Experience integrating complex platforms with external infrastructure, hardware or customer environments., • A pragmatic and curious approach to solving problems in fast‑evolving technical environments., • A relevant professional or postgraduate qualification. You will join a world‑class team at the forefront of the next computational era. We offer a culture of bold innovation, the chance to work with unique lab infrastructure, and the opportunity to see your work redefine the limits of computation. Learn more about our benefits and positive work culture here: company/careers-at-oqc/ #J-18808-Ljbffr

At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW. A passion for Cyber Security is key, and the ability to demonstrate an in-depth knowledge of Security technologies, trends, solutions and Managed Services available to help organisations deliver on their technology and business outcomes. CDW's Cyber Security Practice consists of a group of highly skilled Solution Architects and Specialists. In this role you will act as a Solution Architect within the Security Practice as well as the wider Solution Sales group. The role has three key areas of responsibility, which broken down are: • Act as a Solution Architect, using a combination of your own depth of expertise as well as the wider team to own opportunities, engage with customers and win profitable business., • Develop and maintain your own skills and knowledge through research, self-guided learning, lab time and formal training/accreditation., • Support the development of the team and the wider department by contributing to team projects as well as helping team members with customer engagements and mentoring to help them achieve their own goals and career aspirations., • Customer Opportunities - Work with customers, salespeople and BDMs to qualify opportunities, understand business and technical requirements to design the most appropriate solutions whilst maintaining accurate and up-to-date information within CDW's CRM system to support sales forecasting and pipeline management., • Documentation - Produce high quality documentation from solution designs and RFP responses to total cost of ownership (TCO) models, business cases, high level designs (HLD's) and statement of works (SoWs), • Upsell - Identify potential to expand opportunities where possible and engage and coordinate resources from other teams to support., • Handover - Support the smooth handover of projects into the delivery teams and acting as an escalation point during their life and transition into service., • CDW Evangelist - driving and evangelising CDW capabilities to our customer base in a credible, friendly and relatable way. Differentiating CDW through its productised services, consulting capability and security expertise., • SME Evangelist - Explain and evangelise the features, benefits and technical specifications of your subject matter and adjacent technologies, solutions, and services to internal and external audiences., • Internal Collaboration - Build and develop strong relationships across the business, including with Sales, Professional Services, Managed Services and the wider Solution Sales community to draw upon as the need arises. Support the documentation and adoption of agreed standards and practices within our deployments and work to ensure a high-quality engagement for every customer., • Repeatable Solutions - Support making what we do more repeatable, more profitable and less risky by helping to identify and build standardised offerings, boilerplate content and packaged services., • Partner Engagement - Cultivate strong relationships with CDW's partner community to stay up to date with offerings and roadmaps and leverage this knowledge as an agnostic advisor to customers., • Sales Enablement - Assist CDW sellers with technical guidance on a variety of cloud products and solutions across a range of customer sizes and types and evangelise the team's capabilities., • Customer Retention - Act as a trusted adviser to key customers through building knowledge of their environments., • Accreditation - Attain and maintain the highest level of relevant accreditations in key areas as required., • Strong understanding of the Cyber Security market and key domains including Identity Security, Network & Edge Security, Security Operations, Data Security, AI Security, Advisory Services and Managed Security Services. Supporting senior domain leads across the wider security portfolio., • Previous experience in a Solution Sales, Solution Architecture, Technical Presales or Consulting role., • Experience supporting customer engagements through discovery, solution design, proposal development and technical presentations., • Experience positioning and selling both professional and managed security services., • Broad knowledge of leading security vendors and technologies, with strong technical capability in one or more security domains., • Security vendor accreditations will be advantageous., • Independent and relevant certifications (such as CISSP, CISM, CCSP or equivalent) are advantageous., • Knowledge of industry frameworks such as NIST, ISO 27001, DORA, governance and regulatory compliance is desirable but not essential. #J-18808-Ljbffr

Senior Electronics and Hardware Engineer.Sensio AIR is a smart allergen and air quality tracker that helps people understand, predict and manage their symptoms while keeping a healthy environment.The patented technology has won several awards around the world including the CES innovation award in 20

Accenture PLC across Europe seeks a senior leader in Lab Transformation to drive digitally enabled lab strategies and deliver transformative outcomes for clients. You will lead cross-functional teams, shape the strategic vision across people, process, technology and data, and oversee complex engagements to ensure client value and satisfaction. The role requires extensive consulting experience, demonstrated Lab Informatics expertise, and a proven track record in transformation, with willingness #J-18808-Ljbffr

Metrea delivers effects-as-a-service to national security partners across five domains and more than a dozen mission areas. These include airborne ISR, electronic warfare, secure communications, aerial refueling, special air missions, aerial firefighting, and advanced simulation. We own the whole stack: designing, building, and operating turnkey capabilities that give our partners decisive, asymmetric advantage against rapidly evolving threats. Our operating model is built around three interlocking pillars. The Support Groups provide a global shared-service – spanning people, finance, platform, operations, legal, and engagement. This frees up our Core Groups, who develop and own mission capabilities end-to-end, to focus entirely on delivery. The Market Groups apply a regional lens, ensuring that our agile and adaptable capabilities remain aligned to the wicked problems that matter most to our partners across the Americas, EMEA, and Asia-Pacific. At the heart of our model is a simple but powerful idea: be a true partner with skin in the game. Our partners need effects, not just equipment. By owning the full stack – from the lab to the field – we are able to drive a continuous cycle of innovation that keeps our partners ahead. It's a fast-moving, intellectually demanding environment where talented people are given real responsibility, work on problems that matter, and contribute to an enterprise that is growing quickly and deliberately. Headquartered in Washington, DC, with facilities across the United States, the United Kingdom, as well as Continental Europe and Asia-Pacific. In this role you will primarily be responsible for owning the business logic and semantic data layer for our Enterprise reporting. You will be responsible for writing custom SQL views that merge data between disparate systems in our data lake, then transforming this data into elegant dashboards that enable all levels of Metrea to manage their relevant Capability Areas and FILES. • Design, develop, and maintain curated Gold-layer data models that provide trusted, analytics-ready data for enterprise reporting and decision-making, • Define, standardize, and govern KPIs, business metrics, and data definitions to ensure consistent reporting across the organization, • Design and implement dimensional data models and star schemas optimized for analytics and reporting, • Translate complex business requirements into scalable data models, transformation logic, and reporting solutions, • Partner with business and technical stakeholders to ensure data quality, accuracy, consistency, and alignment with business needs, • Design and optimize datasets and semantic models for Power BI performance, usability, and scalability, • Establish and maintain documentation for data definitions, business rules, data lineage, and model relationships, • Inventory, catalog, and organize existing Power BI reports, dashboards, datasets, and analytics assets to improve discoverability, governance, and reduce duplication, • Minimum of 3 to 5 years of Computer Science, Management of Information Systems, Application Development, Data Analytics or related technical experience, • BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or equivalent experience, is preferred, • Ability to work independently and as part of a team, • A visionary mindset and desire to handle wicked problems, • Proven ability to estimate and calculate project ROI, • 3+ years of PowerBI report writing and SQL development, • 2+ years of Azure exposure, • Experience interacting and setting up Microsoft Fabric, • Hands-on experience with Dynamics 365 Finance & Operations (D365 F&O) data, including knowledge of core tables, data entities, financial dimensions, table relationships, and extracting / modeling D365 data for Power BI and Microsoft Fabric analytics, • Skilled at analyzing data, identifying patterns, and ensuring a high level of accuracy and attention to detail in all work, • Ability to set priorities, work independently, and consistently deliver results with minimal direction PL-300, DP-600, or DP-700 certification is a plus. • Private Medical Insurance, • Subsided gym membership / plans throughWellhub, • Electric Car scheme, • Cycle to work scheme, • Salary sacrificed pension scheme, • Free lunch on office days, • Enhanced Parental Leave, • 30 days annual PTO plus b/h, • Bonus Scheme, • Personal development opportunities The employee will have the legal right to work in theUKand will be able to producerightto work documentation. Metrea Management Limitedis an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or other characteristics protected by law. This is a full-time position with typical working hours of Monday through Friday, 9:00 a.m. to 6:00 p.m. Hours and work shifts may change in accordance with department and business needs. This job operates in an office setting, 3 days a week. 20% travel. At Metrea, our single core value is Rooted in Humility, and our four cornerstone attributes are Entrepreneurial, Systematic, Discerning, and Over-Deliver. These form what we call our Teammate Firmware. Just like technical firmware connects software and hardware, our Firmware is the constant interface between our mission and our people. It defines how we show up, how we work together, and how we solve complex problems. Our team Firmware creates a web-like, hyper-collaborative, dynamically hierarchical way of working that helps us adapt quickly, communicate openly, and distribute decision-making to where expertise actually lives. It enables groups to self-organize around hard problems, shift fluidly as priorities evolve, and operate with the trust, curiosity, and discipline required in a complex mission space. This foundation allows us to deliver elegant, effective solutions and uphold our purpose: protecting our precious inheritance. Find more English Speaking Jobs in United Kingdom on Arbeitnow #J-18808-Ljbffr

(Hybrid role) Location: London, UK Reporting to: Principal Scientist, Global Technical Development Orchard Therapeutics is a global biotechnology gene therapy company dedicated to transforming the lives of people affected by rare diseases through the development of innovative, potentially curative cell and gene therapies. Orchard has its global headquarters in London and is a wholly owned subsidiary of Kyowa Kirin, a Japan-based Global Specialty Pharmaceutical Company. The ELN and data specialist will act as the organisation's subject-matter expert for our ELN platform, responsible for its configuration, governance and continuous improvement across our R&D laboratories. As the primary point of accountability for the ELN platform, the Senior Scientist will define the standards and best practices for its use and guide scientists and superusers in applying them. While accountable for the platform across R&D, the role will be primarily focused on enabling Technical Development (TD) activities, while also supporting research activities. The role entails the hands-on administration, configuration and ongoing development of the ELN platform to support laboratory operations and good data management practice, alongside extending its capability to support broader laboratory data and analytics activities. A key responsibility will be coordinating and collating the requirements of all users and ensuring that suitable ELN tools are developed that are fit for purpose. The role is also responsible for building and maintaining data repositories within TD to support data-driven scientific innovation and decision making. The ideal candidate combines hands-on ELN and laboratory experience with sound scientific understanding and interpersonal skills to partner effectively with R&D, Quality and laboratory informatics teams. • Own the continuous improvement of the ELN platform, identifying and prioritising enhancements in line with evolving laboratory and data needs., • Engage stakeholders across R&D laboratories, quality and lab informatics to capture and define their requirements for the ELN platform., • Design and build the ELN tools required, including standard modules (e.g. Inventory and Registry), workflows and templates to support laboratory operations., • Support the design and implementation of integrations between the ELN and other laboratory or business systems., • Support the development of dashboards and custom label reports for monitoring of R&D data., • Evaluate and trial new ELN features, such as in-built AI capabilities, to drive continuous improvement., • Monitor and troubleshoot any issues that arise, ensuring the smooth operation of the ELN platform., • Write technical documentation to support ELN usage., • Deliver ELN training as required., • Provide day-to-day support and technical guidance to the ELN superusers., • Establish, implement and monitor the practices and standards that uphold data integrity and ensure compliance with internal ELN policies., • Act as R&D's representative and primary liaison for the ELN, with internal project teams, the broader Kyowa Kirin organisation and external parties such as the ELN vendor., • Act as the primary liaison between TD and the consultants (data engineers), translating scientific data requirements into clear specifications for the design and delivery of a data repository., • Lead the development and implementation of a centralised TD data repository that consolidates data from across the programme lifecycle (including CDMOs) and meets the data integrity requirements for CMC dossiers and regulatory filings., • Collaborate across TD, Manufacturing Science and Technology, Quality and laboratory informatics to align on consistent data capture methods, data structures, nomenclature and shared data goals., • Define the reporting and analytics needs required to enable data-driven scientific decision-making from the repository., • Write SQL queries to extract, transform and validate data from laboratory systems and the data repository., • Bachelor's degree in Data Science, Biological Sciences, Engineering or a related field., • Proven experience working in a scientific laboratory environment (academia, biotech or pharma) including substantial hands‑on experience in ELN administration., • Understanding of process development and manufacturing., • Proven ability to configure and customise an ELN (Benchling preferable) or comparable laboratory informatics platform, including schemas, modules and custom workflows., • Understanding of regulatory standards including GxP, ALCOA+ principles, and 21 CFR Part 11 requirements., • Knowledge and understanding of the cell and gene therapy industry., • Experience designing and implementing system integrations using APIs and integration frameworks., • Experience with statistical modelling, DoE, multivariate data analysis and process analytics, including applications such as JMP., • Proficiency in programming skills in languages such as Python., • Excellent analytical and problem‑solving skills, with sound judgement in balancing user needs, compliance and practicality., • Strong collaboration, communication and stakeholder‑management skills, able to translate between scientific, quality and lab informatics audiences and to build consensus., • Able to work independently, take ownership and prioritise across competing demands in a multidisciplinary environment., • Ability to operate in a fast‑paced, multi‑disciplinary industrial environment; proven track record delivering under tight timelines. #J-18808-Ljbffr

Role/Job title: GCP data Engineer Work Location: London/Bristol Role type: Contracting Mode of working: Hybrid / 3 days are required in office Duration of assignment: 1 year+ Our client working alongside a major UK-based financial services group and FTSE 100 company are on an exciting journey to transform their Group and the way their shaping finance for good. They’re focusing on the future, investing in technologies, workplaces, and colleagues to make the Group a great place for everyone. Including you! As the UK's largest Digital, Retail and Commercial bank, our client realise that their data is a significant business differentiator and plays a pivotal role in achieving our sustainable growth ambitions. This role in is in the Mobile Frameworks Lab, where their mission is to develop innovative solutions for understanding and improving how their customers interact with the bank. • Strong hands-on experience with GCP ecosystem (BigQuery, Dataflow, Composer/Airflow, Cloud Storage, Cloud Run), • Proficiency in SQL, Python / PySpark for data engineering and automation, • Experience in supporting data pipelines, including monitoring and troubleshooting, • Hands-on experience with DBT (Data Build Tool) for data transformation and modelling, enabling modular, reusable, and testable data pipelines, • Experience with LBG schedulers (e.g., TWSD) and cloud-native orchestration, • Knowledge of data ingestion patterns (e.g., Datafusion or Dataflow), • Proven experience in production support, covering Incidents, Change Requests (CRs), and Problem Management (PRBs), • AI Machine Learning, • Experience with monitoring tools like Dynatrace and SPLUNK #J-18808-Ljbffr

Odyssey, a leading AI lab, is hiring a VP of Research to lead the Frontier ML group. You will shape the research agenda across world simulation, multimodality, robotics, and multi-agent systems, and drive publication strategy and external reputation. You will report to the Co‑Founder/CTO and work with senior leaders while staying hands-on to push frontier results and set the research direction for Odyssey. #J-18808-Ljbffr

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Hartmann Young A well-funded and award-winning molecular diagnostics company is seeking a Senior Scientist to lead the design and development of PCR and LAMP-based assays for pathogen detection. The company has over a dozen assays currently in development and is scaling its team as it expands its product portfolio. This is a hands-on lab-based role, ideal for an experienced molecular biologist who enjoys experimental design, assay optimisation, and high-impact innovation. You’ll be central to building a new generation of diagnostics, supported by in-house sequencing and data processing infrastructure. Responsibilities • Design and optimise sensitive LAMP and PCR assays, • Lead primer design, selection, and in silico specificity analysis, • Independently plan and execute structured experiments, from concept to validation, • Process and interpret sequence data (e.g. from platforms like Oxford Nanopore), • Conduct bioinformatics-driven assay evaluation and troubleshoot design challenges, • Collaborate with junior scientists while remaining hands-on in the lab, • Support QC and reagent prep for regulated diagnostic workflows About You • PhD in Molecular Biology, Biochemistry, Genomics, or related field (or equivalent experience), • 5+ years of molecular assay design experience (especially LAMP and PCR), • Strong background in primer design, sequence analysis, and molecular reaction optimisation, • Skilled in bioinformatics tools and comfortable with large data sets, • Experience working to regulatory standards (e.g. ISO 13485, IVDR), • Motivated, organised, and confident presenting experimental data to cross-functional teams, • Comfortable working on-site in a wet lab 4–5 days per week, • Associate, • Full-time, • Science and Research Referrals increase your chances of interviewing at Hartmann Young by 2x London, England, United Kingdom 12 hours ago London, England, United Kingdom 1 month ago London, England, United Kingdom 9 hours ago Greater London, England, United Kingdom 1 month ago London, England, United Kingdom 4 weeks ago Harlow, England, United Kingdom 2 weeks ago Teddington, England, United Kingdom 1 week ago London, England, United Kingdom 1 month ago Kent, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago Watford, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Maidstone, England, United Kingdom 1 week ago London Area, United Kingdom £90,000.00-£120,000.00 9 hours ago Canterbury, England, United Kingdom 3 weeks ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 4 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 4 days ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 19 hours ago Northwood, England, United Kingdom 2 days ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago Harrow, England, United Kingdom 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

How do you price moving a hospital's MRI scanner, a wind farm's gearbox, a lab full of delicate instruments or a high-value sculpture? Twenty-five years ago, getting an instant price for a parcel was hard. Now it barely registers at checkout. Shipio is building the infrastructure that does the same for complex goods, so including the logistics price in the sale of a turbine blade becomes as simple as adding postage to a T-shirt. Today every one of those prices rests on dozens of judgement calls about handling, equipment, packing, routing, customs and timing. A specialist operator with years of experience pieces each quote together in spreadsheets and email, and a complex quote can take days. Shipio handles all of that variety inside one system: a vertical AI that reasons through each job, a deterministic pricing engine that produces the price, and a payments rail that settles the transaction. Pricing appears wherever customers want to buy, and for logistics companies quoting stops being the bottleneck and starts driving growth. It's already in customers' hands. Design partners have been using the product for around six months, and we're backed by Fuel Ventures. Our customers are specialist logistics companies, usually between 20 and 200 people, in a market worth around £1.2 trillion that still runs largely on email and spreadsheets. Shipio earns a fee on the transactions that run through it. Our founder, Hugo, is an engineer by background and designed both the pricing algorithm and the vertical AI. Before Shipio he founded a tech-enabled specialist freight forwarder in fine art, which is where he saw the problem first-hand. You'd be one of the first two engineers, building the core team alongside him, with real ownership from your first week, share options in what you build, and work that goes straight into live quotes for customers. The role You make Shipio's vertical AI sharper with every supplier that joins. It already reasons like a senior specialist operator: it understands why each decision on a job is made and makes those calls itself, including on jobs it has never seen. You own it end to end, from the data it learns from through to its architecture, training, calibration and evaluation, working on some of the hardest data in any industry: large, unreliable and endlessly varied. You take features from idea to release yourself, generating the idea, planning the product, designing it, building it and shipping it, and you're accountable for the value it creates for customers. It's a role for an engineer who wants full ownership of complex delivery and wants to push an agentic way of building further. What you'll do • Work with Hugo to learn the domain and turn the product strategy into a roadmap for the vertical AI., • Improve how the system models cause and consequence in complex, real-world physical operations: why an operator chose one strategy over another, so it reasons its way to the right answer on unfamiliar jobs., • Run the model lifecycle as one continuous process: data curation, anomaly detection, training and calibration, evaluation, generalisation and feedback loops., • Own the architecture of the vertical AI and how it works with the deterministic pricing engine., • Maintain the tests and evaluation that prove the output is right, because prices and payments depend on it., • Shape the agentic pipeline the whole team builds with: new agents, sharper checks and faster loops. What you'll bring • Models you have built and shipped on highly variable, messy real-world data., • A strong engineering mindset and a good head for numbers., • End-to-end ownership of model architecture and calibration, rather than one stage of it., • An agentic way of building. You read code closely and understand architecture properly, while much of the day-to-day build runs through AI agents., • Product sense: you generate the ideas and plan the product as well as build it., • Based in the UK and able to spend regular days in London. Nice to have Specialist logistics experience from the inside; logistics tech, freight or pricing systems; anomaly detection on operational data; working across models from more than one provider; early-stage start-up experience. What we offer • Share options: Meaningful share options from day one, • Working pattern: London office or UK remote, with regular days together in London, • Influence: A seat at the table, shaping the product, the architecture and how the next engineers are hired, • Start date: We're happy to work around notice periods for the right person How we hire We keep it short, every step shows you how we work, and we'll tell you where you stand at each one. • A 30-minute conversation with our talent partner. It's recorded, so you only tell your story once., • A conversation with Hugo, our founder: hear where Shipio is going and pressure-test it., • A paid live build using your own AI tools on a real slice of the problem, then a review together. You'll see how we work, and we'll see how you think. #J-18808-Ljbffr

Invisible Technologies Inc. in London is seeking a Senior Solutions Architect to lead solution design for new human‑data projects and pilots within our Data Lab. You will translate underspecified client asks into scalable, executable approaches and work with client researchers, project leads, and engineers to ensure feasible, high‑impact outcomes. You will influence methodology across supervised fine‑tuning, RLHF, benchmarks, red teaming, and data challenges, shaping reusable patterns and #J-18808-Ljbffr

Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. Relation is offering an outstanding opportunity for a Senior Data Scientist to help build the next generation of generative and predictive models of cellular behaviour, with a focus on single cell multi-omics. Your work will be central to our mission to understand and control cellular decision‑making, enabling novel therapeutic strategies grounded in generative models. You’ll be joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. You will contribute advanced data analysis and domain expertise to challenge ML models that aim to predict and explain cellular decision‑making in disease. Process and QC paired single-cell RNA‑seq and scATAC‑seq at scale from thousands of perturbations across diverse cell types and biological contexts. Develop and maintain Nextflow pipelines compatible with custom combinatorial indexing chemistries and including methods such as STARsolo, Alevin‑fry, Chromap, and SnapATAC2. Integrate scRNA‑seq and scATAC‑seq with extracellular proteomics and high‑content imaging to build multimodal training datasets. Manage data in memory‑efficient formats (e.g. Zarr) for GPU‑accelerated processing and model training at scale. Partner closely with wet lab scientists from screen and cohort design through to interpretation, so experiments are analytically tractable and pipelines maximise data value. Contribute to the evaluation framework that determines whether ML models capture meaningful biology: design metrics, held‑out benchmarks, and biological sanity checks. Collaborate closely with ML modellers to develop model architectures. Present findings and methodologies to internal stakeholders and contribute to publications. A PhD (or equivalent industry experience) in computational biology, bioinformatics, or a related quantitative field. Deep hands‑on experience processing and analysing large‑scale single‑cell multiomics data, ideally including paired RNA + ATAC (10x Multiome or equivalent). Proficiency with single‑cell analysis toolkits (e.g. scverse ecosystem) and workflow management frameworks (Nextflow, Snakemake). Experience with arrayed CRISPR perturbation screen data, including well‑level perturbation assignment via sample hashing, perturbation‑specific QC (e.g. MOI estimation), and single‑cell effect quantification. Proficiency in Python and familiarity with high‑performance computing environments. Strong communication skills to bridge experimental and ML teams across a fast‑moving programme Bonus Experience: Experience integrating multiple data modalities (transcriptomics, chromatin accessibility, imaging and proteomics) for joint analysis. Exposure to foundation model development or perturbation prediction models. A background in statistical modelling and algorithm development. Experience working in interdisciplinary teams. Are comfortable working in a matrixed environment,balancing multiple stakeholdersand contributing effectively across teams. Takeownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. At Relation, we operate in amatrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together!The patient is waiting! #J-18808-Ljbffr

Electronics Design Engineer Castleford Area Permanent £ 40k • £ 47k Our client, based in the Castleford area have an immediate requirement to recruit a well versed Electronics Design Engineer. The company designs and builds products for demanding industrial applications. We are seeking a mid-level Electronics Engineer to join the team and handle PCB design and safety compliance for our drive product range. About the role You will design and develop PCBs for control systems, from schematic through to production, using Altium Designer. You will also lead safety and compliance activities, including product documentation and certification support for UL and CE marking. You will report to the Engineering Manager and work alongside the Team Leader. This role suits an engineer who enjoys hands-on design work and takes safety and compliance seriously. What you will do Design and develop PCBs for control and drive systems using Altium Designer Work across stepper, servo, and BLDC motor control platforms Debug hardware issues through to root cause, using oscilloscopes, spectrum analyser, LISN , and probes Support safety certification work, including UL and CE marking, EN ISO 13849, and IEC 60204 Work with test houses and certification bodies on new product approvals Maintain design documentation and keep it audit-ready Contribute to Cyber Resilience Act compliance work, covering incident reporting and secure-by-design requirements for connected products. Work alongside firmware, mechanical, and quality engineers during integrated system testing Support production with build issues and design changes. Support sales with technical queries about product capabilities What you need A degree in Electronics Engineering or a related field Solid experience designing PCBs in Altium Designer, from schematic through to production Experience with motor control electronics, ideally stepper, servo, or BLDC Experience with machinery safety standards Strong troubleshooting skills, including EMC and noise issues on mixed-signal boards Comfortable using lab equipment: oscilloscopes, spectrum analyser, LISN , PSUs , microscopes, thermal chamber Clear written communication, needed for documentation and audits Nice to have Experience with UL and CE marking processes specifically Experience with induction motor drive systems Experience with Profibus or other industrial communication protocols Firmware experience, even at a basic level Awareness of the EU Cyber Resilience Act or similar connected-product regulation Working environment You will have access to a full electronics lab, a wet test lab, and 3D printing facilities, supporting fast iteration from design to physical test. This is a permanent role where you will be expect to work regular office hours Monday to Friday (Some flex). In return you can expect a salary of £ 40k • £ 47k plus bonus potential. This vacancy is being advertised by AMF Recruitment Ltd, a specialist recruitment business supporting the manufacturing industry. TPBN1_UKTJ

Orbital Industries is an AI Industrial company, with frontier AI embedded at every step in the production of critical physical products - from creating advanced materials to engineering and manufacturing. Every Orbital Industries product is developed using CurieOS, our AI operating system, uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We also offer CurieOS to our customers and partners, extending the same platform and workflows that power Orbital Industries to their own teams and products. We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing. Working at Orbital Industries means working in vertically integrated teams across the full stack, from molecules to manufacturing. We're looking for people who have a love of physical technology, curiosity in AI and a desire to learn. Orbital's AI software platform, CurieOS, is used by scientists and engineers to design and build products serving critical industries. Powering this software are our world leading AI models in advanced materials, hardware engineering and simulation. As a Forward Deployed Engineer at Orbital you will deliver CurieOS into customer environments hands-on, writing production code, designing architectures, building integrations and solving problems across the full breadth of industrial R&D. You will embed with customer teams, translate ambiguous high-value problems into working systems, and build solutions that become part of how their scientists and engineers work day-to-day. First and foremost, we want to work with someone with a love of craftsmanship, continual learning and building systems that scale. Deliver deployments hands-on, across the breadth of industrial R&D Deliver complex customer deployments hands-on, writing production code, designing architectures, building integrations and debugging issues across CurieOS and customer systems Design and build systems that connect heterogeneous software, data and physical infrastructure, from simulation campaigns and digital twins to lab instruments, test rigs and CAD/PLM systems Build solutions that become embedded in how customer scientists and engineers work day-to-day Build and deploy Embed with customer teams to understand ambiguous, high-value R&D problems, challenge assumptions and identify where CurieOS can deliver meaningful impact Translate those problems into a technical approach, milestones and acceptance criteria, making pragmatic architecture and scope trade-offs as you learn Build evaluation loops with customer scientists and engineers, defining workflow-specific benchmarks and acceptance criteria that prove the system works in their world Own your engagement from initial technical discovery through implementation, production deployment and adoption, including technical quality Track KPIs per engagement (screening throughput, design-cycle reduction, experiments avoided) and communicate progress and outcomes to customer stakeholders Learn and adapt Rapidly upskill across unfamiliar scientific and engineering domains by collaborating with domain experts, no prior chemistry, materials, or engineering experience required Codify successful approaches into reusable integration patterns, tooling and playbooks so every engagement makes the next one faster Feed field signal to the platform engineering team to shape the CurieOS roadmap Strong software engineering fundamentals and a track record of independently building, shipping and operating production software A track record of succeeding in ambiguous, fast-moving environments where requirements evolve through direct iteration with users The ability to move fluidly between conversations with customer scientists and engineers and deep technical implementation work Experience deploying software into complex production environments A genuine interest in building software that enables breakthrough scientific and industrial applications Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr