Trabajos research engineer en Reino Unido

Key Responsibilities To validate that the work of all engineers is performed to the required standards, as set out by Gas Safety Regulations and Sureserve Compliance.To identify any gaps in an engineer's knowledge and provide feedback to line managers where additional training is required.Serious complaint jobs may need to be visited. A clear record of events must be documented, including issues such as poor workmanship, gas safety concerns, and CO risks.Following visits, photographic evidence must be uploaded via PDA, along with full reports and recommendations.A QC Inspector will ensure sufficient quality checks (QCs) are carried out across the area throughout the year to meet client needs and demonstrate that standards are being achieved.To ensure engineers comply with all health and safety requirements. All issued equipment must be fit for purpose and free from defects, including: PPEVehiclesLaddersRegular HSE checks must be conducted with each engineer within the geographical contract area.Communication & Standards To confidently engage with client representatives and communicate relevant information through the correct channels.To understand servicing, breakdowns, and installation work (where required), and identify ways to improve engineers' working practices.To recognise that honest reporting is essential for the development of engineers, the team, and the company.Customer & Quality Management To resolve any reasonable issues raised by tenants or clients.To record and report unsafe or poor workmanship in a constructive and professional manner, ensuring sensitivity to avoid alarming tenants.Training & Development To assess and mentor new starters and newly qualified engineers.Work Ethic & Flexibility To be self-motivated and capable of working unsupervised.To assess issues effectively and bring them to a swift resolution.There may be occasions where: Work outside normal hours is requiredExtensive travel across business areas is necessaryAdditional tasks outside this specification are assignedPerformance & Continuous Improvement To ensure agreed targets are met and management systems are regularly updated.To fully research and understand each client's contractual requirements.To actively seek industry updates and present these to the team during toolbox talks when required.TPBN1_UKTJ

Electrical Field Service Engineer Overall Earnings £62,000 Basic Salary £45,000 to £47,000 Bonus £4,000 Overtime Circa £5,000 Company Car or £6,000 Car Allowance Salary Review in January 2026 Pension Private Medical Cover Life Insurance 27 Days Holiday and Bank Holidays £10 Lunch Allowance Phone, Laptop, Tools and Test Equipment Excellent opportunity for experienced Electrical Field Service Engineers seeking the opportunity to work for a leading manufacturer of instrumentation and control systems, offering first class industry recognised product training, unrivalled benefits and genuine prospects for career progression The Role - Electrical Field Service Engineer Following planned expansion, they now seek to recruit a technically focused Electrical Field Service Engineer responsible for: Planned preventative maintenance Service and repair of their range of technologically innovative detection systems Ensuring that the highest levels of customer service are maintained at all times Your Background - Electrical Field Service Engineer To be considered for this exciting opportunity, you must be able to demonstrate: A background as an electrical service engineer or maintenance engineer A technical qualification in Electrical Engineering Engineers with experience of working on fire alarms, CCTV or domestic / industrial electrical systems are encouraged to apply You might be an experienced Maintenance Engineer seeking the opportunity to break into a field service environment or a Field Service Engineer seeking further training, an increase in remuneration, an enhanced benefits package and the opportunity to progress within a market leading organisation offering genuine opportunities for career advancement The Company - Electrical Field Service Engineer One of the world’s leading suppliers of instrumentation and control equipment This instantly recognisable manufacturer employs over 20,000 people and has representation in 120 countries Their forward thinking range of products are trusted by professionals globally As a market leading organisation, product innovation, a continued commitment to research and development, excellent levels of customer service and good people are fundamental to their future success This vacancy is being advertised by TRS Consulting. The services advertised by TRS Consulting are those of an employment agency and / or employment business

Opportunity OverviewThe Northern Engineering and Robotics Innovation Centre (NERIC) is seeking an outstanding Development Engineer in Robotics and Automation. This is an exciting opportunity to join our team and work at the interface of academia and industry, supporting SMEs and research partners in Greater Manchester and beyond. From industrial robot integration to humanoid robotics, machine vision and AI-assisted automation, you will design, develop, and deploy cutting-edge robotic and automation solutions across Industry 4.0 technologies and advanced mechatronic system design, supporting technical project delivery and collaborating with leading academics and industrial innovators.Key Responsibilities and SkillsYou will have:A Master's or PhD degree in a relevant engineering field (e.g. Robotics, Automation, Mechatronics, Mechanical, Electrical, Electronic Engineering, Applied Physics), or equivalent industrial experience.Practical experience in automation engineering, robotics integration, or mechatronic system development.Expertise in the design, development, and integration of robotic systems with sensors, vision systems, PLCs, and industrial control hardware.Strong track record of technical problem-solving and engineering project delivery.Excellent analytical, technical report writing, and communication skills.This position will report to the Director of NERIC and will also be expected to engage with the wider project team. The Development Engineer will be expected to deliver outputs for the GMCA Industrial Strategy Zone, in particular working with SMEs in the Greater Manchester area.About the School or About the DepartmentThe Northern Engineering and Robotics Innovation Centre (NERIC), based at the University of Salford, brings together academia, industry and public-sector partners to accelerate innovation and business growth in Advanced Manufacturing and Advanced Materials. Originally established around robotics and automation, NERIC has evolved into a broader innovation hub with expertise spanning robotics, automation, digital manufacturing, metrology, microfabrication, photonics, microsystems, semiconductor technologies and advanced materials. Its activities are aligned with Greater Manchester's Industrial Strategy priorities and focus on supporting SMEs and industrial partners through applied research, technology adoption, prototyping, testing and knowledge exchange. NERIC's Advanced Manufacturing portfolio includes robotic integration, automation and manufacturing process optimisation, while its Advanced Materials activities encompass microelectronics, photonics, sensors, semiconductor materials, nanotechnology and microsystems engineering. This breadth of capability allows the Development Engineer to draw on expertise from across the Centre, supporting research, training and commercial innovation activities throughout the region.What's in it for you?This is a rare opportunity to shape applied robotics and automation engineering at the heart of Greater Manchester's advanced manufacturing sector. Working within NERIC, you will support SMEs and other partners tackling real industrial challenges in Robotics Integration, Industry 4.0, Digital Engineering and Mechatronic System Design - with your work feeding directly into the GMCA Industrial Strategy Zone and helping shape the region's growing reputation for digital and manufacturing innovation.You will be backed by a genuinely rewarding package: a competitive salary and excellent pension, 32 days of annual leave plus bank holidays, and flexible working that supports real work-life balance. We invest in your growth through comprehensive professional development, and you will join a diverse, supportive community of Robotics, Automation and Advanced Manufacturing experts.Job DescriptionTPBN1_UKTJ

Mechanical EngineerDays£42,000 + excellent benefits!Based in Hampstead HeathTrevett Services are working with one of the largest and fastest growing Facilities Management providers in the UK. My client is interested in speaking with technically sound mechanical engineers to potentially join their team in Hampstead Heath.The Role:As a mechanical engineer, you will be working within a large team, covering all mechanical maintenance in a research and treatment centre, both PPM and reactive. Being client facing is a must.You will be working on assets such as actuators, pressure sensors, heat exchangers, pumps, expansion vessels, extract fans, pressurisation units, air handling units and much more.You will be working Mon Fri from 08:00 17:00. There is a 1 in 3 call out, with standby being £10 per day (minimum 4 hours).Remuneration and Benefits:Our client has a great package on offer which is detailed below:25x days annual leave + bank holidaysTraining & progression opportunitiesCompany pension schemeLife assurance/death-in-servicePrivate medical healthcare, dental insurance, critical illness cover, and an Employee Assistance Program (EAP)Qualifications & Experience:Our client is ideally seeking someone from an FM background with at least 18 months experience.Level 2 is required, either in mechanical, plumbing or heating & ventilation.Want to apply?Please click the apply button below and I will get back to you within 48 hours of your application. If you want to find out more about this role or how the market is in general, then please get in touch with me on my number 07863 785164.TPBN1_UKTJ

Fitter/Assembler Required!Our client is a leading UK-based manufacturer of specialist sterilisation solutions, serving a variety of professional, research, and clinical sectors worldwide.On behalf of our client, we are looking to recruit an experienced Fitter/Assembler. The successful candidate will be responsible for building, repairing, refurbishing, and preparing equipment.Package:Salary £28,000 - £30,000 (DOE)25 days holiday + bank holidaysCompany pension schemeEarly finish FridaysWorking hours Monday - Thursday 8am till 5pm and Fridays 8am till 1pmFitter/Assembler - Responsibilities:Actively participate in workshop activities including assembly, rework and testing of equipmentEnsure all work is completed to specification, on time, and to required quality standardsEnsure compliance with company quality standards and requirementsMaintain strict adherence to health & safety procedures across all workshop activitiesCarry out quality inspections and checksCoordinate effectively with engineering, service, and production teams to meet deadlinesFitter/Assembler - Requirements:Time-served engineer or qualified to HNC/HNDStrong experience in mechanical and/or electromechanical assembly and build environments, including pipework assembly, brazing, and solderingThe successful candidate will be required to supply their own standard hand tools for routine daily work. Specialist tools and equipment (e.g. grinders, pipe benders, etc.) will be supplied by the company for shared use.Strong organisational skills with the ability to meet deadlinesStrong commitment to health & safety and safe working practiceStreamline Search is acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying to this post you are granting us consent to process your data and contact you in relation to this applicationTPBN1_UKTJ

Electrical Support Engineer (Rail Products Manufacturer) Croydon 36.5 Hours Per Week - (Apply online only) Mon-Thu & (Apply online only) Fri £50,000 to £65,000 Basic + Up To 8% Of Salary Bonus + Pension + Life Assurance + Dental Health Scheme + Death In Service benefit + Medical Cover + Cycle To Work Scheme Electrical Support Engineer required by a well-established manufacturer. The Electrical Support Engineer is a really varied and interesting position. You will manage electrical tasks, testing protocols and issues in conjunction with the Head of Engineering. This is a great opportunity for an Electrical Engineer looking to join a growing, international business who have an excellent staff retention rate and company benefits. The Electrical Support Role: ▪ Manage Electrical tasks, testing protocols and issues in conjunction with the Senior Mech Engineer and Head of Engineering; ▪ Conform to, own, develop and manage the Job Pack system for all electrically biased Job Packs; ▪ Own and manage all electrically biased Concessions; ▪ Own and manage all electrically biased Engineering Changes (ECs); ▪ Own the creation, review, development, certification and management of electrically biased BoMs; ▪ Own the management of all electrically biased data, manuals, drawings, information, etc; ▪ Determine, design/ select and reverse engineer electrical components, systems and test equipment; ▪ Carry out electrically biased investigations, analyses, research and assessments to support NCRs, customer complaints, warranty claims, fault diagnosis, casualties, overhaul activities, creation of COIs, method statements, manuals, work instructions, RAMS, etc; The Electrical Support Engineer: ▪ Experienced engineer with a minimum HNC/HND qualification (or equivalent) in an electrical/ electronics/ avionics (Electrically biased) engineering discipline; ▪ Electrical design experience; ▪ A solid working knowledge and grasp of electrical fundamentals, principles and their application to products, fault diagnosis, analyses and design; ▪ Knowledge of electrical testing systems, fault diagnosis and root cause analysis, in-particular for: couplers, final drives, motor gear units, cooler groups, transmissions, electrical heads, contact boxes, uncoupling switches, jumper cables, sensors, gauges, motors; ▪ Knowledge of engineering standards and regulations pertaining to rail operations such as RSSB, RISAS, RISQS, TfL/ LUL (or equivalent); ▪ Knowledge of electrical assets and systems from other sectors including marine, oil and gas, industrial gearboxes/ motors/ pumps/ valves, sensors, instrumentation, condition monitoring, testing; ▪ Familiar in the use of CAD systems - company use NX and TeamCenter

Our client is a global, leading specialist for intelligent drive technology and systems as well as tailor-made services. They are looking for a Electrical Support Engineer to join their growing team. The client offers excellent career progression and development, and the ideal candidate will have. Electrical Support Engineer Permanent £50,000 – £65,000 (dependent on experience) Monday – Thursday, 08:30am - 16:30pm, Friday 8:30am – 15:30pm Croydon Electrical Support Engineer Job Description Manage Electrical tasks, testing protocols and issues in conjunction with the Senior Mech Eng and Head of Eng; Conform to, own, develop and manage the Job Pack system for all electrically biased Job Packs; Own and manage electrically biased Concessions & Engineering Changes (ECs); Own the creation, review, development, certification and management of electrically biased BoMs; Own the management of all electrically biased data, manuals, drawings, information, etc; Determine, design/ select and reverse engineer electrical components, systems and test equipment; Carry out electrically biased investigations, analyses, research and assessments to support NCRs, customer complaints, warranty claims, fault diagnosis, casualties, overhaul activities, creation of COIs, method statements, manuals, work instructions, RAMS, etc Electrical Support Engineer Essential Experience/Skills/Qualifications Experienced engineer with a minimum HNC/HND qualification (or equivalent) in an electrical/ electronics/ avionics (Electrically biased) engineering discipline; Design experience and a good balance of general design engineering, reverse engineering. Working knowledge and grasp of electrical fundamentals, principles and their application to products, fault diagnosis, analyses and design. Electrical Support Engineer Company Benefits Annual Bonus & 25 Days Holiday (pro rata on year of joining) Car Allowance Pensions 3% EE and 6% ER, Life Assurance & Salary/Bonus Sacrifice Private Health Care & Dental Health Care If you feel you’re a good fit for this position, please click ‘apply

Stress Engineer - Stress & Structural AnalysisLocation: Boscombe DownContract length: 12 monthsPay rate: £60 - £80 p/h - inside IR35 and via UmbrellaSC Clearance/ eligibility is required for this positionJoining a team that's right at the heart of aircraft modification and trials, this is a chance to help turn complex structural challenges into certifiable, customer-ready designs. Our client supports growth across both military and civil programmes-so there's real momentum, and your expertise will genuinely matter.What you'll be doing: Deliver technical assessments for flight trials, product development, research activities and other projects Perform static strength, vibration, fatigue & damage tolerance analysis for airframe modifications and installations Use classical hand calculations and Finite Element Analysis to verify designs against regulatory expectations Devise and conduct structural tests (e.g. static strength and modal testing) to demonstrate compliance or validate analyses Produce formal calculations and supporting documentation with clear traceability to source data Support aircraft surveys and tests through Stress Office and AEC processes to certify designs to regulatory specifications Check calculations and drawings, contribute to design reviews, and present findings and recommendations Mentor junior engineers and help improve methods and team processesWhat you'll bring: Strong experience working on aerospace products and/or aircraft modifications Expertise in stress/structural analysis for primary and secondary structures, using both hand calculations and FEM Confident use of FEM tools such as FEMAP/NX Nastran, Hyperworks, and Abaqus Experience with fatigue & damage tolerance analysis, including both metallic and composite structures Ability to document high-quality stress calculations and reports using tools such as MathCad / PTC Prime, Microsoft Word and Excel A bachelor's degree in Aerospace or Mechanical EngineeringAdditional information: Experience as a Compliance Verification Engineer (CVE) for a CAA/EASA 21J and/or MAA DAOS organisation is desirable but not essential Knowledge of Defence Standard 00-970 is desirable* Opportunities to work across other domains may arise, including review of structures documents and weapons R&DIf you're motivated by technical depth, collaborative engineering and making sure designs stand up to real-world scrutiny, we'd love to hear from you. Apply now to discuss your next Stress Engineering opportunity in Wiltshire.If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.TPBN1_UKTJ

Senior to Principal level PCB Layout EngineerLocation: Berkshire based, looking for relocating candidates.Working Pattern: Full-time onsite due to work nature / exposure.Security Clearance: Must be eligible for Developed Vetting (DV) clearance.Shape the Future of Defence TechnologyJoin a team at the cutting edge of defence and cyber technology, delivering advanced solutions that protect critical information and support mission-critical operations worldwide. Whether you're an experienced PCB Designer looking to step into a Senior role or an established Principal Engineer seeking greater technical influence, this is an opportunity to work on highly secure, technically challenging programmes that make a real-world impact.Our Cyber Business Unit develops advanced cryptographic and key management solutions, enabling secure communications across tactical and strategic defence environments. You'll play a key role in designing complex PCB solutions for ground-breaking research, development, and production programmes ranging from thousands to millions of pounds in value.The OpportunityAs a Senior or Principal PCB Layout Engineer, you'll be responsible for the design and layout of complex multilayer PCBs (4-20 layers) across defence, aerospace, security, and space applications.You'll collaborate with multidisciplinary engineering teams to develop high-reliability hardware solutions, supporting projects from concept through to manufacture.Key responsibilities include:Designing complex rigid, semi-rigid, and flex-rigid PCBs incorporating through, buried, and blind viasProducing layouts for analogue, RF, digital, power, and high-speed designsEnsuring designs meet EMC, signal integrity, security, and TEMPEST requirementsWorking closely with hardware engineers to define routing strategies, impedance control, and design constraintsIncorporating DFM, DFT, and production test requirements into designsLiaising with PCB fabricators and assembly houses to support successful manufactureSupporting design reviews and contributing to continuous improvement initiativesEstimating design effort and delivering against programme schedulesAt Principal level, contributing to technical proposals, bids, and mentoring less experienced engineersWhat We're Looking ForEssential:Degree in Engineering, Science, Mathematics or equivalent industry experienceStrong background in PCB design, routing, and layout of complex electronic assembliesExperience designing multilayer, high-density PCBsExpertise with industry-standard PCB design toolsetsExcellent knowledge of IPC standards and routing best practicesProven track record delivering complex designs involving high-speed digital, RF, analogue, and power electronicsExperience implementing DFM and DFT methodologiesHighly Desirable:Signal integrity analysis experienceUnderstanding of power distribution and thermal design considerationsExperience with Gerber and ODB++ dataAltium Designer and/or PADS expertiseSchematic capture experienceWindchill version control knowledgeWhy Join?? Up to 10% annual bonus.? £5,000 annual DV allowance once achieved the clearance.? Relocation opportunity available, case by case.? Work on nationally significant cyber and defence programmes.? Exposure to cutting-edge aerospace, space, and security technologies.? Clear progression from Senior to Principal and beyond.If you're passionate about complex PCB design and want to work on projects that directly support national security and advanced technology development, I'd love to hear from you.TPBN1_UKTJ

Electrical Engineer - Engineering - Croydon - up to £65000 plus bonus Hello Recruitment is pleased to be recruiting an Electrical Engineer for a large engineering conglomerate based in Croydon, Surrey. CORE RESPONSIBILITIES Manage Electrical tasks, testing protocols and issues in conjunction with the Senior Mechanical Engineer and Head of Engineering. Conform to, own, develop and manage the Job Pack system for all electrically biased Job Packs. Own and manage all electrically biased Concessions. Own and manage all electrically biased Engineering Changes (ECs). Own the creation, review, development, certification, and management of electrically biased BoMs. Own the management of all electrically biased data, manuals, drawings, information, etc. Determine, design/ select and reverse engineer electrical components, systems, and test equipment. Carry out electrically biased investigations, analyses, research, and assessments to support NCRs, customer complaints, warranty claims, fault diagnosis, casualties, overhaul activities, creation of COIs, method statements, manuals, work instructions, RAMS, etc. PROFESSIONAL EXPERIENCE & EDUCATION Experienced engineer with a minimum HNC/HND qualification (or equivalent) in an electrical/ electronic/ avionics (Electrically biased) engineering discipline. A degree in an Electrically biased engineering discipline would be preferable. With a minimum of 2 years design experience, it is preferable that you have at least 4 years. You will possess a good balance of general design engineering, reverse engineering and rail experience is preferred, but experience from other sectors will be considered. A solid working knowledge and grasp of electrical fundamentals, principles and their application to products, fault diagnosis, analyses, and design. Knowledge of rail products, electrical testing systems, fault diagnosis and root cause analysis, in-particular for: couplers, final drives, motor gear units, cooler groups, transmissions, electrical heads, contact boxes, uncoupling switches, jumper cables, sensors, gauges, motors. Knowledge of engineering standards and regulations pertaining to rail operations such as RSSB, RISAS, RISQS, TFL/ LUL. Knowledge of electrical assets and systems from other sectors including marine, oil and gas, industrial gearboxes/ motors/ pumps/ valves, sensors, instrumentation, condition monitoring, testing. Familiar in the use of CAD systems NX and TeamCenter. SPECIFIC SKILLS & KNOWLEDGE A flexible, positive, adaptable, and proactive self-starter will succeed in this role. Fluent technical and conversational English. Commercial awareness – understanding the impact of engineering actions and decisions on current contracts and future business. Knowledge of how a warranty/ complaints management system operates. Knowledge and use of SAP and ERP systems. New Employees must pass a Drugs and Alcohol related Medical upon starting within the Company please ensure all applicants are made aware. Package Details:- Permanent Contract Monday – Thursday, 8:30am to 16:30pm, Friday 8:30am – 15:30pm a 36.5 hour working week. Up to £65k (dependent on experience) Annual Bonus (pro rata on year of joining) 20 days holiday (pro rata on joining) Pensions 3% EE and 6% ER Life Assurance Salary/Bonus Sacrifice Private Health Care

Entity: Technology Job Family Group: IT&S Group Job Description: bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. We are looking for a Senior Machine Learning Engineer who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field — developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value. You will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities — translating complex scientific and business problems into deployable ML products. • Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability)., • Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products — not limited to experimentation but extending through to production delivery and operational use., • Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains., • Translate complex scientific and business problems into well-scoped ML solutions, delivering actionable insights and deployable capabilities., • Architect and optimise ML systems for performance, scalability, and reliability in production environments., • Collaborate closely with data scientists, data engineers, software engineers, and domain authorities as part of cross-disciplinary teams., • Adhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation)., • Present technical results, trade-offs, and product outcomes to peers and senior partners., • Actively supply to improving developer velocity, engineering standards, and shared tooling., • Mentor junior team members and chip in to the technical growth of the wider team. Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline)., • Hands-on experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments., • Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions., • Applied knowledge of data science and ML tools across all stages of the data and model lifecycle., • Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing., • Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++)., • Advanced SQL knowledge., • Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring., • Knowledge of experimental design, analysis, and scientific methodology., • Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail., • Strong partner management and ability to influence across teams and organisations., • Continuous learning and improvement mentality., • Experience with big data technologies (e.g. Hadoop, Hive, Spark)., • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration frameworks., • Experience applying machine learning and AI to scientific or R&D workflows — with emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models)., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies., • Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI., • No prior experience in the energy industry required. [Complete by TA / HR with local benefits and compensation details] • Competitive compensation and benefits package., • Opportunity to work on innovative ML and AI problems at global scale., • A culture that values scientific rigour, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! Summary We’re looking for engineers who think holistically, automate relentlessly, and are fluent in the fast-moving world of AI tooling and infrastructure—but grounded in disciplined engineering principles. Our AI organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior AI Engineer, you’ll play a critical role in building and deploying scalable AI-powered applications through solid software engineering excellence combined with pragmatic use of modern AI capabilities. This is a role for seasoned engineers who are excited about applying AI in practical and scalable ways. We’re looking for individuals who thrive at the intersection of disciplined software development and modern AI applications. You should be comfortable working across the full lifecycle of a product—from ideation and architecture to deployment and automation—while navigating ambiguity and driving toward execution. Strong systems thinking, ownership mindset, and the ability to ship value fast are essential. • Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design)., • Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise., • Participate in cross functional team initiatives—embedded projects with business stakeholders—to rapidly build and deploy AI solutions that solve high-priority business problems., • Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications., • Champion automation in workflows—from data management ingestion and preprocessing to evaluation, to model integration and deployment., • Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of AI products., • Stay current with emerging AI technologies, but prioritize practical application and delivery over experimental research., • Contribute to the internal knowledge base, tooling libraries, and documentation to scale AI engineering best practices across the organization., • Proven track record of professional software engineering experience; ability to independently design and ship complex systems in production., • Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, and backend systems., • Strong problem-solving skills and the ability to balance engineering rigor with delivery speed., • Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices., • Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents and crew of agents etc.)., • Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred:, • Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems., • Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them., • Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits., • Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats., • Experience building chatbots, search systems, or generative AI interfaces., • Background in working within platform engineering or internal developer tools teams. Prior experience working in an embedded (forward-deployed) team model with business stakeholders. • Experience building production grade, reliable AI applications Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are crucial to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. We are seeking an exceptional Staff Machine Learning Engineer to serve as a technical leader and architect of machine learning systems across the organisation. This is the highest individual contributor tier within the field — a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML products that span the journey from research and experimentation through to solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products — bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers, and drive step-change impact across business-critical, scientific, and R&D domains. • Provide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation., • Own end-to-end delivery of complex ML solutions — from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery., • Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products., • Bridge the gap between scientific research and enterprise deployment — taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value., • Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines., • Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams., • Lead complex, multi-team technical initiatives and influence organisational direction through technical authority., • Evaluate and integrate emerging approaches — including generative AI, Agentic AI, advanced optimisation, and scientific computing — into scalable solutions., • Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities., • Mentor senior engineers and data scientists, raising the technical bar across the subject area., • Partner with business and scientific customers to shape ML strategy and identify high-value opportunities., • Present technical strategies, architectural decisions, and outcomes to senior leadership. Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area)., • Hands-on experience designing, prototyping, productionizing, and scaling complex ML systems in production environments., • Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing — with a consistent record of applying these to deliver production-grade products., • Strong software engineering and system design expertise, including distributed systems, scalable architectures, and API design., • Advanced programming experience in languages such as Python, Go, Java, or C++., • Advanced SQL knowledge., • Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring., • Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop)., • Knowledge of experimental design, scientific methodology, and analysis., • Strong partner management and confirmed ability to influence large organisations without direct authority., • Demonstrated ability to lead through technical excellence and deliver high-impact, organisation-wide outcomes., • Continuous learning and improvement approach., • Deep experience in applied machine learning science — including developing novel algorithms and translating scientific research into deployable, production-grade ML products., • Experience applying AI/ML to scientific, engineering, or R&D workflows — encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows., • Strong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production., • Experience designing or deploying Agentic AI systems — including autonomous agents, tool use, multi-agent orchestration, reasoning workflows, and agent-driven scientific discovery., • Consistent record of innovation through publications in peer-reviewed venues, invention disclosures (IDFs), patents, or open-source contributions in machine learning or AI., • Experience building ML platforms, reusable scientific computing frameworks, or internal tooling that accelerates delivery across teams., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental frameworks., • No prior experience in the energy industry required. [Complete by TA / HR with local benefits and compensation details] • Competitive compensation and benefits package., • Opportunity to lead and shape the future of ML and AI at one of the world's largest energy companies., • A culture that values scientific difficulty, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Technical Sales Engineer To £60,000 Basic Salary Leeds/Sheffield/York Take charge of high-value sales across Yorkshire, with the freedom to shape your own strategy and drive revenue in a major industrial sector. You’ll work directly with project-driven clients, giving you the chance to influence large-scale decisions and win business that makes a real impact on your career. With an £80,000 OTE, you’ll have the financial reward to match your drive. Enjoy the flexibility of a home-based position, with regular customer visits across the region. You’ll get a company car, a good retirement plan, all the necessary expenses covered and a comprehensive package, so you can focus on what matters most - building relationships and closing deals. Develop your expertise in flow control technology, while gaining access to specialist training and support that will sharpen your technical and commercial edge. You’ll be working with an industry-leading manufacturer, giving you credibility from day one. What You Will Do • Support the Sales Manager in driving new business across Yorkshire, focusing on strategic accounts and long-term opportunities. You’ll lead sales campaigns, write proposals, and negotiate contracts, giving you hands-on experience in every stage of the sales cycle., • Research new markets, identify income streams, and map customer needs, so you can stay ahead of the competition. This is your chance to develop a deep understanding of how to sell high-end industrial equipment and build a strong network of corporate clients. What You Will Have • Ideally with proven experience in selling rotating equipment (pumps or related), with a track record of winning new business and growing accounts, • Strong strategic thinking and exceptional business development skills, able to get in front of corporate customers and sell across multiple departments, • Excellent communication skills, allowing you to connect with a wide range of decision-makers and influence long sales cycles About The Company They manufacture precision-engineered flow control equipment, designed to improve safety, efficiency and maintenance in processing industries. With over 50 years of engineering heritage, they serve major industries chemical, pulp and paper, pharma, biopharma, food and beverage, and personal care etc. The best part of this is, if you are successful in getting the job, we guarantee that you are going to love it. Why? For every 100 people we recruit, 96% are still with their company 12-months later, and 94% are still there 2-years later. That speaks for itself. Want to be a part of this? Of course, you do! If you have the entrepreneurial spirit and passion this position requires then get in touch now before the deadline expires. To apply, click on the apply button below, contact Richard York, or call the Mercury Hampton office directly on 01925 937311. We aim to respond to all successful applicants within two working days.

About Us Job Purpose We are looking for a software engineer to join our growing cloud development team and help us deliver high quality software for computer security. We follow an Agile methodology with frequent, iterative releases to our live AWS environment. The team develops cloud management for Sophos’ endpoint security products, all implemented in our Sophos Central platform. We have an exciting roadmap of new features to develop and continuously release to our Cloud based customers. In this role you will have the opportunity to work with the latest cloud technologies, working across the full software stack and contributing to infrastructure, data storage, microservices, front end UI and test automation. • Contribute to the design and implementation of new features across the full software stack, leveraging modern design patterns, • Support the team’s high quality standards by ensuring code has appropriate test automation coverage, • Participate in peer code reviews and ensure design and code adhere to Sophos standards, • Participate in security reviews of features to ensure that products comply with Sophos’ security requirements and industry best practice, • Work with UX, PM, QA and other developers in project planning, to achieve high-value and high-quality solutions which meet business needs, • Contribute to daily stand-ups, kick-offs, collaborative estimation and retrospective meetings, • Essential:, • Degree in Computer Science or other numerate discipline, or equivalent experience., • Experience in full stack software development, ideally using Java and JavaScript/TypeScript., • Ability to put together well thought-through designs for software components., • Ability to write high quality code., • Experience with agile development methodologies., • Technical problem solving and strong debugging skills., • Good communicator, ‘can do’ attitude and a team player., • Ability to learn new skills quickly and apply them to the role., • Desirable:, • Demonstrable expertise in building cloud scale software solutions on the AWS platform., • Use of Angular for building single page web applications., • Experience with microservices and CI/CD pipelines., • Experience with NoSQL databases, ideally MongoDB, Dynamo or Elasticsearch., • Experience with SQL databases such as PostgreSQL., • Experience with Docker.Ready to Join Us?At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply. What's Great About Sophos?· Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship.· Our people – we innovate and create, all of which are accompanied by a great sense of fun and team spirit· Employee-led diversity and inclusion networks that build community and provide education and advocacy· Annual charity and fundraising initiatives and volunteer days for employees to support local communities· Global employee sustainability initiatives to reduce our environmental footprint· Global fitness and trivia competitions to keep our bodies and minds sharp· Global wellbeing days for employees to relax and recharge · Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To YouWe’re proud of the diverse and inclusive environment we have at Sophos, and we’re committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data ProtectionIf you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos’ data protection practices, please consult our Privacy Policy _We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. This is a deeply technical, hands-on role. Work directly with engineers on system design, evaluation, and trade-offs-defining requirements, but shaping how the system works for global users. You work at the intersection of user needs, model capability, and system constraints, and are responsible for turning AI potential into real, reliable behavior in a real-world application. Research and define end-to-end AI system requirements from capability to behavior to user impact Translate model capabilities, data constraints, and evaluation results into clear product and system decisions Make hard trade-offs across quality, latency, cost, reliability, and UX Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback Drive execution with clear specs, strong judgment, and disciplined prioritization Ensure systems ship quickly, safely, and reliably, with strong feedback loops Own product quality end-to-end - correctness, predictability, and user trust Strong grounding in computer science fundamentals, including algorithms, data structures, and system design. Solid understanding of ML fundamentals and how modern AI systems behave in production. Comfort reading, reviewing, and discussing technical design documents. Hands-on exposure to AI-powered products, including LLM-based systems. Experience working with model evaluation, prompt or pipeline iteration, and feedback loops. Strong intuition for model limitations, hallucinations, bias, and drift. Significant experience owning complex, technical products end-to-end. Proven ability to work closely with senior engineers and ML teams. Strong judgment and decision-making ability in ambiguous, fast-moving environments. Ability to balance ambition with technical and operational reality. Experience shipping AI-heavy consumer products. Background as an engineer or highly technical product manager. Experience defining evaluation metrics for ML systems. Strong intuition for AI UX patterns and failure handling. Prior experience in zero-to-one product environments. Product strategy clearly aligns AI capabilities with user needs and company priorities. AI features deliver real value, are understandable, predictable, and trusted by users. Decisions balance quality, speed, cost, and reliability effectively under uncertainty. Roadmaps and priorities are clear, with fast iteration based on real user feedback. Teams are aligned, focused, and able to execute on AI product goals with minimal friction. The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product. If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Software Engineer, Consensus - Anza Anza is a Solana R&D lab pushing the boundaries of blockchain performance and scalability. Anza was founded by experienced executives and core engineers solving the toughest problems in Web3. Crypto ecosystems rely on robust protocols, and we believe those are best built out in the open, with multiple contributors. We pioneer advanced solutions to meet the evolving demands of decentralized applications. As a Software Engineer specializing in consensus, you will play a critical role in fortifying Anza's Agave client and the broader Solana network. Your work will directly improve the efficiency and reliability of our blockchain infrastructure, ensuring robust, timely consensus mechanisms. You will focus on optimizing the processes that underpin the agreement on block validity and order, ensuring they are secure, performant, and scalable to support future growth. • Develop and Optimize Consensus Mechanisms: Design, implement, and optimize the mechanisms for consensus to enhance the throughput and stability of the Solana network., • Efficient Coordination: Develop and refine algorithms to ensure fair and efficient agreement on block production among validators., • Ensure Security and Integrity: Identify and mitigate potential security vulnerabilities within the consensus mechanisms, ensuring robust protection against emerging threats., • Scalability and Performance: Work on improving the scalability of the consensus system to handle increasing transaction volumes and validator participation without compromising on performance., • Testing and Validation: Create and execute comprehensive tests to validate the reliability and efficiency of the consensus mechanisms, including stress tests, fault injection, and performance benchmarking., • Collaboration: Collaborate with cross-functional teams, including core protocol engineers, security experts, and infrastructure teams, to ensure the seamless integration and functioning of the consensus components., • Documentation and Code Review: Maintain thorough documentation of the consensus protocols and conduct peer code reviews to uphold high standards of code quality and consistency., • Experience: A Bachelor's degree in Computer Science, Engineering, or equivalent practical experience and 3+ years of hands-on experience with core infrastructure software and distributed systems., • Technical Expertise: Strong proficiency in systems programming languages such as Rust or C++. Experience with consensus algorithms, distributed systems, and blockchain technology is highly desirable., • Problem-Solving Skills: Ability to analyze complex systems, identify potential issues, and develop effective, flexible solutions., • Security Mindset: Knowledge of common security threats and best practices in securing consensus processes., • Growth Mindset: Actively consuming research papers, designing, and investigating new solutions., • Performance Optimization: Experience with performance profiling and optimization techniques., • Collaboration and Communication: Excellent teamwork and communication skills, with the ability to work effectively in a collaborative environment., • Familiarity with Linux, systems automation tools, and systems architecture., • Understanding of networking, architecture, and principles underlying distributed systems., • A knack for designing secure protocols, software, and algorithms that minimize trust requirements., • Self-driven, research oriented, and the ability to learn independently., • Active participation in Bitcoin/Ethereum/Blockchain projects or the open-source community is highly desirable. We offer a dynamic, fast-paced environment where innovation and problem-solving are at the heart of everything we do. Here, your work will have a direct impact on the security and scalability of blockchain technology, contributing to the foundation of decentralized applications worldwide. We're excited to welcome individuals who share our passion for pushing the boundaries of blockchain technology. If you're ready to take on the challenge and contribute to the next generation of blockchain infrastructure, we'd love to hear from you. The salary range for US-based candidates will be determined throughout the interview process depending on experience, skill, and location. Candidates should anticipate an annual base salary (not including incentive compensation or other benefits) of $180,000 USD to $300,000 USD.

Military Training Solutions Architect/Systems Engineer {MoD} Andover 1, 2 or 3 days a week. up to £76,000 + Car + Private Health + 6-8% Pension + Discounts + Progression + Training Are you a Military Training Solutions Architect or similar with a military background looking for an autonomous role where you will be tasked with designing and developing the next generation of training solutions for the Ministry of Defence during our current global crisis. Do you want a role that is both challenging and rewarding where you will be working for one of the UK's biggest global defence organisations on specialist projects across all the forces. On offer, is the unique opportunity for a Military Training Solutions Architect to join a leading and international UK defence company. Established around 150 years ago, this defence powerhouse has remained at the forefront of research, training, development and innovation the MoD and has its name to some of the largest training and defence projects the world has to offer. In this role, the successful Military Training Solutions Architect would be responsible for implementing training and developments solutions and systems across a range of military clients ranging from the RAF, Navy, Army and more. This role will be both challenging and rewarding, giving you the opportunity to use all the skills you have developed as well as the autonomy to think outside the box to complete the specific requirements. The ideal Military Training Solutions Architect would ideally come from a military background and have been involved in the training and development. Have business acumen as well as be able to implement systems, simulations and or similar to improve training and development across a range of military customers. The Role: • Create technical specifications such as system and user development requirements, • Develop training compliance management plans, • Provide thought leadership and subject-matter expertise on training systems and platforms., • Build and maintain effective relationships internally and externally, • Maintain currency in new platform and training system development The Person: • Ex Military or similar., • MCTS/CAST/CATT or similar., • Implement training solutions and systems., • Build and maintain effective relationships internally and externally, • Work in Andover 1/2/3 day's a week. Keywords: Systems Engineer, Systems Analyst, Training & Development, Military Training, Warrant Office, Defence, MoD, Solutions Architect If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.

Ajax Systems is an international technological company and Europe's largest security system manufacturer. In addition, the company offers solutions for video surveillance, smart homes, fire detection, and flood prevention. The product portfolio includes 180 wireless and wired devices for security and automation. Today, Ajax protects over 3.5 million users in 187 countries worldwide. The company employs 4,100 specialists. We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems. The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax's unwavering mission. Ajax Systems is a Ukrainian success story, a place of incredible strength and energy. • 5+ years of professional experience working as a Pre-Sales Engineer, Technical Manager, Technical Account Manager, • Strong knowledge of Physical Security systems (CCTV, IP surveillance, intrusion), • Result-oriented, outgoing, tenacious, self-motivated, a customer-focused approach, • Excellent verbal and written communication skills, • Proficient in business analysis, • Available for regular business trips and customer visits in the area, • Deliver technical trainings, seminars, presentations, and webinars for customers to increase their knowledge of products., • Introduce product roadmaps and new features to Ajax Systems customers., • Promote and introduce product solutions according to customer thesis, technical consultation, and support of key clients., • Market research and сomparative characteristics of products of the competitors., • Develop long-term relationships with key partners of the company., • Test product features and write technical documentation for new products or solutions, and collaborate with the rest of the team., • Opportunity to work in one of the most recognized and innovative security manufacturers., • Opportunity to take on new challenges, advance your career, and make a meaningful impact., • Opportunity to be part of a fast-paced and dynamic environment that encourages creativity, critical thinking, and the exploration of new ideas., • Competitive compensation that includes a base salary and performance-related bonuses., • Car allowance, all business expenses and work tools are covered by the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Military Training Systems Engineer/Architect {MoD} Andover 1, 2 or 3 days a week. up to £76,000 + Car + Private Health + 6-8% Pension + Discounts + Progression + Training Are you a Military Training Systems Engineer or similar with a military background looking for an autonomous role where you will be tasked with designing and developing the next generation of training solutions for the Ministry of Defence during our current global crisis. Do you want a role that is both challenging and rewarding where you will be working for one of the UK's biggest global defence organisations on specialist projects across all the forces. On offer, is the unique opportunity for a Military Training Systems Engineer/Architect to join a leading and international UK defence company. Established around 150 years ago, this defence powerhouse has remained at the forefront of research, training, development and innovation the MoD and has its name to some of the largest training and defence projects the world has to offer. In this role, the successful Military Training Systems Engineer/Architect would be responsible for implementing training and developments solutions and systems across a range of military clients ranging from the RAF, Navy, Army and more. This role will be both challenging and rewarding, giving you the opportunity to use all the skills you have developed as well as the autonomy to think outside the box to complete the specific requirements. The ideal Military Training Systems Engineer/Architect would ideally come from a military background and have been involved in the training and development. Have business acumen as well as be able to implement systems, simulations and or similar to improve training and development across a range of military customers. The Role: • Create technical specifications such as system and user development requirements, • Develop training compliance management plans, • Provide thought leadership and subject-matter expertise on training systems and platforms., • Build and maintain effective relationships internally and externally, • Maintain currency in new platform and training system development The Person: • Ex Military or similar., • MCTS/CAST/CATT or similar., • Implement training solutions and systems., • Build and maintain effective relationships internally and externally, • Work in Andover 1/2/3 day's a week. Keywords: Systems Engineer, Systems Analyst, Training & Development, Military Training, Warrant Office, Defence, MoD, Solutions Architect If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role Veeva Link supports the life sciences industry to connect with key people to improve research and care. It helps professionals to find the right people for, e.g., clinical trials, education programs, or advisory boards. This streamlined access helps to reduce the time-to-market of important drugs, conduct trials with the most relevant experts in the respective field, and spread information about new treatments to key people in the life science community. You can read more about Veeva Link on our product pages at _. As a data engineer, you focus on our data pipelines and take responsibility for a major part of the Link data processing platform. We value end-to-end ownership, which puts you into the sweet spot of finding, designing, and implementing improvements to the product's data pipelines and adjusting them to changing demands of the market. You take responsibility for features and innovation using SOLID and clean software principles, take part in the architectural enhancement process and care for the quality of the outcome. Monitoring, metrics, and general observability are part of the feature design process. We hire the same role for different engineering domains: Sourcing, Tagging, Matching, and Provisioning. Depending on the engineering domain, you will focus on different aspects. We decide together which domains fit best for you. \n What You'll Do • Work on Veeva Link’s next-gen Data Platform, • Improve our current environment with features, refactoring, and innovation, • Work with JVM-based languages or Python on Spark-based data pipelines, • Operate ML models in close cooperation with our data science team, • Experiment in your domain to improve precision, recall, or cost savings Requirements • Expert skills in Java or Python, • Experience with Apache Spark or PySpark, • Experience writing software for the cloud (AWS or GCP), • Speaking and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions Nice to Have • Experience with operating machine learning models (e.g., MLFlow), • Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift), • DevOps skills, including terraform and general CI/CD experience, • Previously worked in agile environments, • Experience with expert systems Perks & Benefits • Comprehensive benefits package, • Annual allocations for continuous learning, development & charitable contributions, • Fitness reimbursement, • Veeva Work-Anywhere \n #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, product expertise, and implementation, so we expect the scope to evolve and want someone excited to build as it does. You'll work directly with corporate and midmarket customers to drive adoption of their core use case and help identify new ones - but everything you build has to scale across a high-volume book, not custom to one account. You'll need to be genuinely technical, deep enough in the product to be the most knowledgeable person in the room, without ever writing code or owning an account directly. This is a builder role for someone extremely analytical who's already advanced with AI tools. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: Drive strong adoption by building and delivering scalable implementation and enablement processes that educate customers on best practices and get them to time-to-value quickly on their core use case Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're the product expert for enabling both basic and complex use cases, and you're constantly the first to learn new products coming to market Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Forward Deployed Engineering, GTM, Customer Experience, Product Marketing and Engineering) Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements 6+ years in implementation, solutions consulting/engineering, technical account management, or similar at a technical SaaS or AI-native company Experience with voice AI, TTS, conversational AI, or developer-facing products A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward Experience managing a high-volume book of business at scale, mid-market or commercial segment Fluency in English is essential, fluency in a 2nd European language (French, Spanish, German, Polish) is desirable Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: Growth Roles - Regional Adoption Lead Other teams: Account Management or Forward Deployed Engineering - Strategist or Solutions Engineer Location This role is remote-first, so it can be executed from anywhere in Europe. If you prefer, you can work from our offices in London, Dublin or Paris. #LI-Remote

PHP Developer Tech: PHP, NodeJS, HTML, CSS, JavaScript, Symfony Why? PE Investment and huge career progression Location: remote with travel to Reading Area office on day 1 and monthly • Do you have 3+ years experience using PHP?, • Do you have 1+ years' commercial experience using NodeJS? A forward thinking Software Vendor is looking for a PHP Developer to be part of the internal IT systems development team. You will work in an agile environment with other teams (including product development, sales, support, and marketing) to deliver business applications based largely on web technologies. An exciting future project will involve supporting a Greenfield SaaS Platform build using modern NodeJS. This is a great opportunity to use your expertise whilst having the opportunity use modern technology and methodologies to create exciting products for clients. Responsibilities include: PHP Developer • Design, code, test, document, maintain, and support web-based applications, • Contribute to requirements, design specification, and technical documentation, • Research emerging technologies and products; recommend suitable products and plan implementation, • Contribute to project planning (agile development), • Support and suggest architectural decisions Experience Required: PHP Developer • 3+ years' commercial software development experience using PHP, • 1+ years' commercial experience using NodeJS, • Beneficial experience using Symfony, • Experience with Object-oriented techniques and relational databases (MySQL or Postgres would be ideal), • Collaborative approach to develop and maintain professional working relationships, • Strong written and verbal communication skills For more information, please contact Katie at Matched. Senior PHP Developer / PHP Developer / Senior Software Developer / Senior Software Engineer / Software Developer / Software Engineer / PHP

Amber is an entirely new way of thinking about buying, banking and selling energy where home energy technology works to put money back in customers’ pockets and accelerate the renewable energy transition. We’re an Australian headquartered company, where we are both an energy technology company and a utility providing energy directly to households and small businesses. In Australia (the world leader on rooftop solar and a 2-way energy grid), we’ve proven that the cheapest, fastest and most rewarding way to reach 100% renewables is to automate the growing wave of home batteries, EVs, and other smart energy devices. Customers get direct access to the real-time electricity prices and the technology to shift energy usage to the times when cheaper renewables are available in the grid and export to the grid at times when the price they can be paid for it is highest. We are a clear market leader in energy automation in Australia, and are now partnering with utilities across Europe to bring our technology to European markets and consumers. We’re at a critical moment in taking the business to scale in Europe. You’ll be joining a rapidly growing regional team of 15, and be part of a global team of over 220, with expertise across energy, technology, marketing, and operations. We’re committed to building a diverse and inclusive workplace and a great culture of people who love coming to work to build a better world. We’re backed by leading VCs in Australia and Europe, as well as impact-focused investors and world-leading energy companies. At Amber, we believe that enabling a culture where everyone is set up to do the best work of their lives, and feels connected and supported, is one of the most important things we can do to ensure our long-term success. Want to help improve the environment by shifting the world’s energy usage towards renewables? We are currently hiring for a Full Stack Software Engineer. Amber provides a great opportunity to apply your skills as an Engineer to help enable the uptake of renewable energy. Our technology optimises thousands of batteries and other devices in the customers' homes, enabling them to time their usage to consume power at times of high renewable penetration (and cheap prices), and then export power back to the grid at critical times - letting them outbid energy generators and earn potentially >£50 in an afternoon. The Amber Electric product team develops and supports: • Home automation integrations (to batteries, hot water systems and pool pumps, with EVs coming soon) that control electricity usage in response to pricing and renewable availability, • Mobile & Web apps for customers to monitor and manage their energy usage, • A pricing and billing engine for real time energy pricing The tech stack is React Native mobile app, some React web frontends, and a Serverless Lambda backend on AWS. We’re using Typescript top to bottom, and Apollo GraphQL sits in the middle. We keep our data in DynamoDB, Postgres, and Snowflake, using one or the other as best suits a particular workload. You can learn more about our tech stack at _ While we’re looking for talented and driven individuals our desire is to build a champion team, not a team of champions. We’re full-stack-ish; while it’s impossible for everyone to excel across every layer of the stack we value people who can chip in wherever they’re needed. We’re committed to building a diverse and inclusive workplace from the ground up. We want engineers who are as comfortable communicating with people as they are with their code. At Amber, we want to hire self-starters who are eager to learn, and are comfortable working in a changing environment. Some of the key traits we are looking for in this role: • You have a positive mindset: equal parts curious, collaborative, and can-do, • Between 3 and 5 years of commercial development experience in either Web or Mobile environments, • Commercial experience with the specific technologies in our stack is a strong plus, • Experience with languages sharing features with Typescript is also a plus (such as JavaScript, C#, Go, or similar), • We favour generalists who can be flexible across the stack, both frontend and backend, • Strong verbal and written communication skills built on a foundation of empathy for your fellow humans is essential, with English proficiency of C1/C2 level at a minimum, • Additional language skills, particularly in European languages, are a bonus and may support broader team and customer engagement., • Write and maintain high quality program code across the stack in the areas of your specialty, • Flexibly contribute outside your specialty in other areas of the stack supporting your team when they need it, • Work collaboratively with your peers in product and across the wider company to ensure you're always shipping the right thing the right way at the right time, • Research, consult, analyse, and evaluate our system requirements, • Test, debug, diagnose, and correct errors in our tech stack according to our operational specifications, • Support the app across the whole lifecycle from idea through to production, • The role will see you working directly with external clients while collaborating across internal teams, including leadership, product, design, and engineering to deliver impactful solutions., • We’re committed to building a diverse and inclusive workplace and a great culture of people who love coming to work to build a better world, • Join a growing technology start-up that will shape the future of household renewable energy use, • You’d be a part of a growing team of over 220 people with expertise across energy, technology, marketing, and operations, • Flexible working hours & remote working - see "How You Work" for more info, • Competitive salary within your local market, • Share options in Amber Electric, • Employment and leave entitlements as per your local country, • An external Employee Assistance Plan for mental health support, • Annual Learning & Development budget to support your personal growth, • Annual company conference in Melbourne, Australia. Between £45,000 and £70,000 base per annum. All roles at Amber include employee stock options. This is a full-time role to be based ideally from the UK/Germany/Netherlands. We do have a co-working space in London where we work flexibly between the office and home. You will be working predominantly remotely within a high-trust environment where transparency and accountability are foundational to our engineering culture. Amber's flexible approach allows you to shape your schedule around core collaboration hours, which are 7am - 12pm Tuesdays and Thursdays London time. This overlap enables meaningful collaboration with your Australian colleagues. Outside these core hours, we trust you to manage your time effectively. We focus on outcomes and impact rather than hours logged, but we do expect consistent communication and reliable delivery on commitments. Regular check-ins and transparent progress updates are part of how we maintain this balance of freedom and responsibility. We value work-life balance and sustainable pace—we don't want team members to overwork or burn out, nor do we expect you to be available 24/7. Instead, we promote clear boundaries and open dialogue about workload and capacity. Our headquarters is located in Melbourne, Australia, with a second co-working office/space in Sydney, Australia. Our European team operates from a central London hub that you will travel to during your onboarding, and approximately every 2 months thereafter for team collaboration. These in-person sessions help strengthen relationships and reinforce our collaborative culture. We also have AmberCon every year, this is a big team calendar event and we will fly you to Melbourne to be there with the rest of the team. We will always cover flights, accommodation and other travel costs as part of our travel policies. If this kind of work gets you excited, we'd love to hear from you! Even if you don’t meet 100% of the requirements listed above, we still encourage you to apply. We're open to all backgrounds and encourage people from underrepresented groups to apply. We never discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Please include your resume and a cover letter and tell us: • One specific way you could use your technical skills to improve a household's energy use under the Amber model. Our process will generally be as follows: • A screening interview with our talent team, • A take-home technical challenge that should take no longer than four hours, • A follow up interview with two members of the engineering team, • A culture interview with two members of the engineering leadership team We promise to be respectful of your time as an applicant while trying to be as thorough as possible in finding the right fit for our team. Only applicants with full working rights in the UK/Europe region will be considered for the role. Shortlisted candidates will be contacted promptly. All other applicants will also be notified of the outcome as soon as possible. No recruitment agencies please. We are already working with our preferred partners. Thank you! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Edge Impulse is the leading edge AI platform, enabling companies to build smarter edge products. Our technology empowers over 100,000 developers to bring more machine learning products to market faster. Enterprise teams develop industry-specific solutions in weeks instead of years because of our robust platform with custom pre-processing blocks and deployment blocks, which make it significantly easier to put a trained model onto a device. We believe that data-centric engineering is the future of industry transformation, unlocking a positive impact on our society and environment. Have a passion for distributed systems, user interaction, accessibility, and delivering customer value? This could be your next career step. Our studio team is the glue for all user-facing Edge Impulse features. We are responsible for the polished UI and the and _. Because we build and support the overall Edge Impulse platform, we seek truly full-stack programmers who thrive on cross-organization coordination and collaboration. \n Responsibilities • Work closely with our Product team as well as with our UX, Marketing, and Solutions teams to design and develop new features that emphasize accessibility, CSS structure, and implementing user-centric designs., • Improve existing code by making it faster, idiomatic, and easier to maintain. Build systems that are reliable, maintainable, scalable, and secure., • Collaborate with our Embedded engineers to integrate new deployment targets in Studio. Experience with embedded development is nice to have, but not required. We have an amazing team to take care of the low-level aspects., • Collaborate with our world-class ML team to showcase their research through Studio. No ML background is required, but a readiness to learn is essential!, • Maintain and extend the Edge Impulse API, SDK, and CLI. We love happy developers., • Embrace an iterative approach by delivering work incrementally to gather feedback., • Lead cross-team initiatives end-to-end, including code reviews, design reviews, operational robustness, security hygiene, etc. Preferred skills and experience • A minimum of six years of software development experience with a balance of front-end and back-end technologies., • Proficiency in TypeScript, NodeJS, or similar technologies., • Strong expertise in HTML and CSS., • Foundational knowledge of UX principles and a track record of prioritizing accessibility in design., • Comfort working with data storage systems at scale, using technologies like PostgreSQL and Redis., • Experience with Docker and an understanding of containerization., • Track record of easily working on a fully distributed team. Bonus points! • Background and interest in Machine Learning and/or mathematics., • Familiarity with monitoring and observability tools like DataDog., • Experience or interest in implementing performant Web Applications and responsive design. \n£63,600 - £98,325 a yearWe base our salary ranges from compensation research using both historic and real-time salary data sets. We have a reasonable estimate of the current salary range to be GBP63K-98K + annual bonus + benefits. This range reflects the minimum and maximum target for new hire salaries for this remote position where the engineer is based in the UK. Edge Impulse targets overall compensation at the 75th quartile of the market for similarly placed companies, job families, and grade levels. Our salary ranges take into account a wide range of factors including but not limited to role, grade level, location, training, degrees, certifications, and other business needs. \n We are an equal opportunity employer. We appreciate diversity in our remote, global organization. We value inclusivity across our teams. We encourage applicants of all genders to apply for this position. We do not discriminate against any employee or applicant for employment because of race, religion, color, national origin, gender identity, sex, sexual orientation, age, marital status, veteran status, disability status, or any other federal, state, or local protected class. #LI-Remote

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact _. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. As a Senior Software Engineer in our Defence business unit, you will lead backend and edge/IoT engineering for critical work streams, implementing robust, scalable patterns. You’ll bridge the gap between machine learning research and production-grade software, raising the technical bar through hands-on contribution and peer mentoring. Working alongside Lead Engineers and Data Scientists, you will scope and deliver high-impact solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. Designing and building robust backend and edge/IoT components for diverse client deliverables across multiple software domains. Scoping and executing bounded technical problems to ensure high-velocity delivery. Shipping production-ready code in Python and at least one compiled language such as Rust, C++, Go, C#, or Java. Implementing scalable CI/CD processes, containerisation with Docker, and deployments on Kubernetes or bare metal. Mentoring and pairing with fellow engineers to share best practices and empower the team to deliver their best work. Collaborating with Machine Learning and Data Science teams to operationalise agentic software and advanced AI tooling. You possess strong hands-on experience in application development and a solid understanding of modern system architecture and design. You have a proven track record of shipping code used by paying customers in both Python and a compiled language. You are highly skilled in DevOps practices, including GitLab CI/CD, Docker, and managing applications in production environments. You bring experience with agentic software development and a passion for understanding and solving complex customer problems. You thrive when acting as a key contributor within a squad, taking ownership of technical challenges and elevating the team's output. You communicate effectively with technical and commercial stakeholders, translating complex requirements into robust engineering solutions. Talent Team Screen (30 minutes) System Design Interview (90 minutes) Pair Programming Interview (90 minutes) Commercial & Leadership Interview (60 minutes) We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’. The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years. Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. Pleo is investing heavily in AI-powered features across the product. You will be part of the GenAI Core team which is responsible for the horizontal platform infrastructure that makes this possible. They look afterLLM routing, MCP servers, vector search infrastructure, evaluation frameworks, and agentic tooling. This is a hands-on backend/platform engineering role at the intersection of distributed systems and modern AI engineering. You will help design, build, and operate the shared AI infrastructure used by product teams across Pleo, with a strong focus on reliability, observability, security, and developer experience. You'll be reporting to the Engineering Manager for the GenAI Platform team and will be working closely with senior and staff Engineers in GenAI Core. You will also collaborate with Applied AI Engineers, Data Scientists, and product engineering teams across the business. As a Senior GenAI Platform Engineer you will: Design, build, and operate core GenAI platform components used by product teams at Pleo, including LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling (tracing LLM calls, supporting human and automated evaluation, detecting drift, and tracking costs) and infrastructure for multi-step, long-running agentic workflows. Own production-quality delivery of platform features, from design through rollout, monitoring, and follow-up. Contribute to resilient system design: sensible APIs, failure handling, rate limiting, retries, idempotency, and safe change management. Improve reliability and observability through metrics, dashboards, alerting, incident follow-ups, and operational improvements. Partner with Applied AI Engineers and product teams to understand platform needs and help them build AI-powered features safely. Build internal SDKs, templates, and guardrails that let product engineers build AI features without needing deep infrastructure expertise. Support other engineers through pairing, code reviews, technical feedback, and clear documentation. Help evaluate build-vs-buy decisions in the rapidly evolving LLMOps tooling landscape. You will thrive in this role if you have: Strong backend/systems engineering background, with experience building and operating production services with reliability and observability requirements. Experience designing and delivering shared platform or infrastructure components used by multiple teams. Strong production ownership: monitoring, alerting, incident response, debugging, and post-incident learning. Distributed systems fundamentals, including async workflows, idempotency, consistency tradeoffs, and designing for failure. Hands-on experience with LLM APIs or strong interest in learning their production failure modes: rate limits, context windows, multi-vendor routing, latency variance, and cost control. Security mindset for AI systems, including prompt injection risks, PII in logs, data leakage, and safe credential handling. Strong programming experience in either a JVM-based language or Python. We operate a polyglot platform with components written in both Kotlin and Python, and you’ll be expected to contribute to both. Clear communication and collaboration skills, especially when working with product teams and other engineers to turn ambiguous platform needs into practical solutions. This role is a good fit for you if: You are passionate about developer experience and get excited about being a force multiplier for engineering teams. You have moved past prototyping and have a deep understanding of the realities of LLMOps, data retrieval, prompt and context engineering, as well as model evaluation in production. You understand both the engineering and the data side of things, and are comfortable switching languages or technologies to achieve your goals. This role is not a good fit for you if: You are primarily interested in model research or algorithm development. This role is about building the tooling that enables product teams to ship AI features to production. You prefer building customer-facing features. Your key users will be other Pleo Engineers. You cannot explain AI trade-offs clearly to non-technical stakeholders. You will regularly work with Product Managers, Designers, and business leaders who need to understand what is and isn't possible. In your first 6 months at Pleo, you’ll: Develop a clear picture of how AI features are currently being built at Pleo and where the biggest infrastructure bottlenecks are. Take ownership of a core platform component such as the LLM gateway, RAG infrastructure, MCP gateway, or evaluation framework, and improve its reliability, observability, or developer experience. Deliver production-ready improvements with clear rollout plans, monitoring, and operational documentation. Partner with Applied AI Engineers and product teams to identify platform investments that would accelerate their work. Contribute to Pleo's internal standards for AI feature development: how we evaluate quality, manage prompts, and monitor production AI systems. We’re committed to helping you develop your career, whether that means taking on bigger projects, stepping into leadership, or acquiring new skills! Please note: We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work. We are unable to offer visa sponsorship for this role. Your own Pleo card (no more out-of-pocket spending!) Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis We offer 25 days of holiday + your public holidays For our Team, we offer both hybrid and fully remote working options We use MyndUp to give our employees access to free mental health and well-being support with great success so far Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows: Intro call: A 30-minute chat with our Talent Partner to discuss the role and your background. Technical screening: A 15 to 30 minute call with our Talent Partner to check your knowledge of key technical topics. System design interview: A 75-minute practical session with our engineers focusing on scoping and designing an AI feature. Live coding interview: A 75-minute practical session with our engineers focusing on implementing your solution. Hiring Manager interview: A 60-minute conversation to deep dive into your knowledge and experience. Final interview: A leadership interview focusing on your behavioural, communication and collaboration skills. Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success! CV writing and content: we receive a lot of CVs, and many of them are AI-generated. We love seeing people leverage AI—it’s a big focus for us internally too—but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. What we're really looking for is the specific details of real impact that only you know from your previous experience. A top tip from us is to use the “Achieved X, as measured by Y, by doing Z” formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you’ve worked on. A final note: including links to your previous companies' websites is a huge help and allows us to truly understand your background! Application care: every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process. Profile to role fit: this is neither a research-driven nor a traditional data or software engineering role. We're looking for someone with proven experience building platforms or tooling for agentic AI. We expect senior-level engineers to be able to work fully autonomously on an entire product feature from design to implementation. English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us. A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails. Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us. Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you. Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy _. Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role. Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.

Computer Vision Research Engineer (PAD) About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Platform AI Lead Location: WeWork Waterloo - Hybrid (2+ days a week in office) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Computer Vision Research Engineer to join our Platform AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance. • Research, prototype, and evaluate new approaches to strengthen biometric security against both presentation attacks, such as masks, printed photos, and screen replays, and emerging threats such as face swaps, synthetic media, and injection attacks., • Improve the accuracy, robustness, and performance of our biometric systems through experimentation, model development, and analysis of system weaknesses., • Work closely with Data Engineers and Machine Learning Engineers to understand data challenges, investigate issues, and develop scalable solutions for biometric security., • Help develop datasets, tools, and evaluation methods that support the testing and improvement of biometric systems., • Proactively identify new attack patterns, failure modes, and opportunities to strengthen the resilience of our biometric systems., • Stay up to date with developments in computer vision, machine learning, and biometric security, and apply relevant ideas to our products., • Collaborate with engineers and researchers to share findings and bring new ideas into production., • A Masters or PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience., • Proven proficiency or experience in machine learning and computer vision., • Proactive, highly motivated, and curious, with a desire to understand problems and find effective solutions., • Comfortable turning ideas into experiments and prototypes, and using evidence to drive decisions., • Interest in modern AI technologies, including generative AI and agentic systems, and a willingness to explore how they can be applied to real-world problems., • Strong communication skills and enjoys working with cross-functional teams., • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

Job Title: Ada CS Engineer Location: Remote, UK, with regular travel to Cambridge Salary: £39,000 to £45,000 p.a. Full-time equivalent, dependent on experience Basis: Permanent, Full-time, part-time or flexible Eligibility: You must be eligible to work in the UK The role The Raspberry Pi Foundation is working in collaboration with the University of Cambridge to deliver _, a free and accessible learning platform for computing teachers and students in the UK. We are looking for a motivated and proactive software engineer to join the Ada Computer Science development team and work on the development and maintenance of a key component of the UK’s computer science curriculum delivery. You will be working within a University of Cambridge development team and will represent the Raspberry Pi Foundation’s interest. You will be a key person in creating a shared understanding between the two organisations. This role is a chance for significantly more independence and autonomy than typical for this level of experience. The work you will do is open source and can be found on Github at _. You will be working to improve and develop resources and experiences for teachers and students and will have a unique chance to impact computer science education throughout the UK for both young people and educators. You will develop software in Java and React to enable learning experiences, as well as managing the software delivery and infrastructure that runs Ada Computer Science. You will be working with a supportive, collaborative, and agile team of software engineers from the University of Cambridge, product designers and managers from the Raspberry Pi Foundation and expert computer science educators. We work hard to make sure that the Foundation is a place where everyone is supported to do the best work of their careers. We have a flexible and collaborative approach to all aspects of our work. If you're the right person for the job, we’ll make it work for you, and you can be confident that you’ll be joining an exceptional team of people who care about our mission and each other. Responsibilities This role has the following responsibilities. • Design and implement Ada CS site features in collaboration with product teams and designers from the Raspberry Pi Foundation and the University of Cambridge., • Organise release testing and perform deployments, • Respond to support tickets, • Support product teams with requests for data and insights, • Manage on-premises servers maintained by the University of Cambridge, • Participate in our on-call rotation within business hours There are also opportunities to lead in specific domains, such as: • Testing strategy and approach, including Visual Regression Testing., • Building and deployment, managing the CI/CD pipeline and approach, • Developing analytics for key stakeholders, including managing the analytics infrastructure Experience and personal attributes We recognise that everyone has the potential for growth. We welcome applications from candidates who can demonstrate that they have some, but not necessarily all, of the experience and personal attributes listed here. • Great written and verbal communication skills, • Proactivity and strong self-management skills, • Professional development experience in React, Java and Python, • Experience with Docker, Docker compose and containerisation, • Experience with a relational database systems (e.g. MySQL, PostgreSQL, MongoDB), • Experience with software delivery and CI/CD, • Experience with software service metrics and monitoring tools such as Grafana, Plausible and Apache Superset., • Familiarity with Linux server administration and networking, • Experience directly interacting with end users, replying professionally to queries and questions, • Enthusiasm for growing the next generation of Computer Scientists and for educational outcomes in Computer Science About us The Raspberry Pi Foundation is an independent charity with a global mission to enable all young people to realise their full potential through the power of computing and digital technologies. We empower schools to teach computer science and AI literacy through free curricula, classroom resources, purpose built software tools, and professional development for teachers. We inspire young people to become tech creators through the world's largest networks of coding clubs. We undertake original research that informs our work and which we use to advance the field of computer science education more broadly. All of our resources and learning experiences are available for anyone to use at no cost. We are particularly focused on creating opportunities for young people who experience educational disadvantage and those who come from backgrounds traditionally underrepresented in technology industries. Over the past decade, we have supported hundreds of thousands of educators and tens of millions of students. We have teams in six countries (India, Ireland, Kenya, South Africa, the UK and US) and partnerships with mission-aligned non-profit organisations in over 60 countries. We are at the forefront of the global educational movement to expand access to computer science education and AI literacy. You can learn more about our work in our latest Annual Report. Benefits In addition to competitive salaries, we offer a wide range of benefits for all of our colleagues. • Paid time off. In addition to public holidays, full-time employees in the UK receive 25 days of paid annual leave initially, rising to 30 days after five years service, plus 3 additional days of paid leave for the company-wide closure at the end of each year., • Pension. We provide an 8% employer contribution on top of your minimum 4% employee contribution., • Private healthcare. We provide comprehensive private healthcare for all employees through Vitality Plus., • Flexible working. We have clear policies to provide flexibility over when and where you work, helping you balance work responsibilities with the rest of your life., • Support for parents and carers. We provide generous family leave and flexibility for parents and carers., • Life assurance and income protection. We provide life assurance and income protection schemes to provide peace of mind for you and your family., • Investing in learning and development. We invest in your growth and development, including through access to learning resources and training, with dedicated time for all employees., • Travel to work. Through our Cycle-to-Work and Season Ticket Loan schemes we support cost effective and sustainable travel to work. Timetable for applications Closing date: 20th April 2026, 9.00am GMT Phone screen: Week commencing 20th April 2026 First interview: Week commencing 27th April 2026 Second interview: Week commencing 5th May 2026 Our recruitment process All of our workplaces are inclusive spaces where we want people to feel respected, valued, and able to do their best work. We are committed to building teams that bring together people with a broad range of backgrounds, skills, and perspectives. That starts with our recruitment process. Here's what you can expect: • As part of your application, you will be asked to respond to a small number of questions that we will use to screen your eligibility for the role. You will also be asked to provide your cv and a short cover letter., • Eligible applications will be reviewed by our recruitment team and the hiring manager., • A small number of candidates will be invited to a phone call with the hiring manager., • The purpose of this call is to check our understanding of your application and to answer any questions you have., • We normally have two interviews, which may take place in-person. Interviews will be with the hiring manager and at least one other colleague., • You will usually be asked to undertake a work-based assessment in advance of your interviews. This will be an opportunity for you to show how you would perform some part of the role. You will be given advance notice and clear instructions., • If you have any questions about or feel that you need any adjustments to the recruitment process, including adjustments for neurodiversity, please contact our People and Culture team at recruitment@raspberrypi.org. We are committed to safeguarding and promoting the welfare of children and young people, and we expect all staff and volunteers to share this commitment. Everyone appointed to a role at the Foundation will be required to undergo a background check to confirm that you are a suitable person to work with children. Further background checks will be made at regular intervals thereafter.

Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! At Canva, our mission is to empower the world to design. We’re building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen—reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers—curating task distributions that surface real failure modes. Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements—you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Equity packages - we want our success to be yours too, • Inclusive parental leave policy that supports all parents & carers, • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out _ for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

Technical Account Manager London - Hybrid or UK - Remote About Snowplow Snowplow is the global leader in customer data infrastructure for AI, enabling every organisation to transform raw behavioural data into governed, high-fidelity fuel for AI-powered applications—including advanced analytics, real-time personalisation engines, and AI agents. Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications. Thousands of companies rely on Snowplow to uncover customer insights, predict customer behaviours, hyper-personalise customer experiences, and detect fraud in real time. The Opportunity The Technical Account Manager (TAM) sits within our Technical Services team and reports to the Technical Account Management Lead. This customer-facing role blends technical expertise with consultative support, helping customers solve problems and get value from their data using Snowplow. We view customer activation as key to retention and success. TAMs work closely with clients to understand their data goals and design tailored implementations that drive business outcomes. We’re looking for a technically savvy, data-driven individual who thrives in a fast-paced environment and enjoys working with data teams to co-design solutions, implement use cases, and demonstrate impact. The role involves close collaboration with cross-functional teams—Engineering, Product, Sales, Support, and Marketing—to optimise customer strategies and expand use cases. What you'll be doing: ● Partner with various Snowplow team members to support customer accounts, collaborating with them to deliver value within their unique and complex organisations.● Provide consultation and advisory support to customers regarding solutions and use case development, by providing actionable execution of success criteria and solutioning complex problems.● Work with customers to identify, diagnose and resolve technical challenges with their Snowplow solution – including front-end implementation, data modelling, real-time data processing, and more.● Educate and enable our customers through tailored workshops and advisory sessions.● Collaborate with our Solution Architects, to develop and evolve technical assets such as data models, implementation strategies, architectures, and supporting code to bring value to our customers as well as our internal teams.● Develop domain expertise in key verticals through deep customer collaborations, general research and industry events/conferences.● Work closely with the Customer Success and Strategic Account Management teams to develop long-term strategies and roadmaps for activation and adoption of Snowplow’s products. ● Continue learning and staying current with our products and related technologies, to assist and train both customers and other team members We’d Love to Hear From You If Have: ● A solid understanding of the data space - cloud infrastructure, database technologies, visualisation tools and other enabling technologies in the modern data stack.● Experience working either client-side or agency-side as an analyst, analytics engineer, data engineer, data consultant, or data scientist.● SQL and data modelling experience, and proficiency at manipulating data.● Experience with direct management of a customer portfolio for continual successPrevious experience designing and implementing complex software solutions, including gathering/developing requirements and interacting with senior technical stakeholders (e.g. CTO, VP, Tech Lead). ● Previous experience of using Snowplow, (either BDP or open source) is ideal but not required What We Offer You in Return: 💰 A competitive package, including share options🧘 Flexible working🏖 A generous holiday allowance no matter where you are in the world💻 MacBook and home office equipment allowance👪 Enhanced maternity, paternity, shared parental and adoption leave Snowplow is dedicated to building and supporting a brilliant, diverse and hugely inclusive team. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence.

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into our development processes. Optimize AI models for mobile environments to ensure high performance and low latency. Around 4+ years of experience in AI/ML development, preferably in mobile applications. Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Experience with deep learning, NLP, computer vision, and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices. Experience in deploying and maintaining ML models in production. Ability to work collaboratively in a remote team environment. Strong problem-solving skills and a passion for innovation. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Technical Account Management team ensures customers realize long-term value from their 1Password investment. We combine technical expertise with customer advocacy, guiding organizations from implementation through adoption, expansion, and renewal. Our team partners closely with Onboarding and Implementation, Customer Success Managers, Product, Support, and Enablement to ensure customers experience a seamless journey post-sale. We are customer-obsessed, technically curious, and committed to building deep, trusted partnerships that help organizations succeed securely with 1Password. As a Staff Technical Account Manager, you’ll own the technical side of the post-sale customer lifecycle. You’ll guide implementations, drive adoption, and act as a trusted technical advisor on identity, access, device trust, and SaaS security, driving tangible outcomes for our customers and helping shape the future of access management. You’ll take on our most strategic and complex accounts, mentor your fellow team members, and influence how we scale customer engagement, processes, and best practices across the organization. You’ll balance technical depth with business acumen, always with an eye on driving customer value and retention. As a Sr Staff level TAM, you’ll work alongside leadership to shape processes, drive product outcomes, and learning opportunities for the rest of the team while being the go-to subject matter expert cross-functionally for your particular product domain of expertise. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within the UK. What we're looking for: 6+ years in a customer-facing technical role (Technical Account Manager, Solutions Engineer, or Implementation Consultant) within a SaaS or security focused B2B environment. Proven ability to lead technical onboarding and implementation conversations with both technical and business stakeholders throughout the entire post-sale journey with the most complex customer requirements. Strong communication, storytelling, and demo skills. You are able to translate complex technical concepts into clear business value. Extensive experience driving customer adoption, expansion, or renewal through proactive technical engagement. Advanced understanding of modern security frameworks and identity protocols (e.g.,SSO, SCIM, SAML, OAuth), and how they support compliance standards such as SOC 2, ISO 27001, and GDPR. Extensive experience with the identity space and a deep understanding of how the space is adapting to modern work environments. Must be able to work autonomously in a remote-first environment, while collaborating cross-functionally as a trusted subject matter expert in your domain. Strong familiarity with AI technologies and the ability to advise customers on evolving product roadmaps. Deep experience mentoring peers, shaping enablement, and improving customer lifecycle processes. Strong ability to develop new/improved team practices, processes, models, and metrics based on research and best practices. Experience with 1Password (or other password managers), SaaS lifecycle management, MDM or device posture tools is a strong plus. What you can expect: Own our most complex post-sale technical relationships, guiding customers from onboarding through adoption and renewal. Lead technical implementation, including integrations, configuration, and security reviews. Act as the technical advisor for our most complex accounts, ensuring customers are set up for long-term success. Partner with Customer Success Managers to proactively identify risks, drive expansion opportunities, and maximize customer value while minimizing contraction/churn and identifying opportunities to expand the use of our products. Contribute to strategic customer health reviews and success planning across the full 1Password ecosystem. As a Staff level IC, you’ll assist leadership in a team lead capacity by supporting admin tasks including, but not limited to, call assignments, technical 1:1s, and co-lead/lead team meetings. Represent the customer voice internally by partnering with Product, Marketing, and Support as a subject matter expert on our products. Create and maintain resources (playbooks, knowledge base, etc) that scale customer impact in close partnership with leadership. Mentor other team members, contribute to enablement, and shape scalable processes. Act as an escalation point for highly complex technical challenges and strategic accounts. Occasionally represent 1Password at customer meetings, industry events, or team offsites (some travel may be required). UK-based roles only: The annual base salary for this role is between £71,000 GBP and £103,000 GBP. This role is also immediate participation in 1Password's benefits program (health, dental, pension, and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

Sales Engineer, Wind, Oil & Gas, Metals, remote position based in UK Astrantia Talent is recruiting exclusively for a highly innovative and technologically oriented globally operating business, committed to provide their customers with high-performance sealing solutions. The company not only has an extensive research and development department, but also in-house testing facilities where new designs and customer-specific material mixtures are further developed. Headquarters are located in the US with additional locations in Germany and Austria. Responsibilities: • Responsibility for a defined customer base, acquiring new customers in the wind, metal and oil & gas sectors throughout UK, • Independently develop medium and long-term customer strategies, • Conduct active contract and price negotiations with customers, • Part of customers' commercial and technical projects, also as project manager if required, • Contact person for complaints etc., • Responsibility for active observation and the exchange of technical trends Requirements • Technical degree in mechanical engineering or plastics technology or a comparable qualification, • Initial experience in the sale of complex technical products or alternatively have experience as a design engineer or application consultant in the technical field, • Strong in implementation, customer-oriented and a sense of urgency, • Analyze and evaluate complex technical topics, • An appropriate degree of persuasiveness, motivation and assertiveness, • Written and spoken German and English language skills, • Willingness to travel, • Good and friendly interaction with colleagues, • Independent, responsible and reliable way of working For more Information contact: Jenny Böhnlein Email: Jennyboehnlein@astrantiatalent.com Phone: +44 7341 890463

ML Engineer About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Core AI Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Machine Learning Engineer to join our Core AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance. • Drive research projects in the areas of computer vision, machine learning and biometrics., • Research new biometric systems and contribute to prototyping new products - by testing and integrating existing technologies or by designing a new solution., • Develop and train deep learning models for face verification, liveness and attack detection., • Improve upon data and evaluation strategies, including synthetic and adversarial data., • Investigate failure modes and improve generalisation, robustness and fairness., • Collaborate cross-functionally to turn models into production-quality services., • A Masters or PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience., • Proven proficiency or experience in machine learning and computer vision., • Enjoys collaborating with cross-functional teams., • Proficiency in Python and modern deep learning frameworks., • Strong problem-solving skills and out-of-box thinking. Extras: • Experience working on 0->1 products., • Experience generating and using synthetic data, • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

Flosum is a Salesforce-native DevOps and data protection platform serving enterprise Salesforce teams across the Fortune 5000. We are in wartime. Pipeline generation, retention, and product velocity are our three highest-priority problems, and AI is the lever that accelerates all three. We are hiring our first AI Go-to-Market Engineer to architect, deploy, train, and continuously optimize AI agents and automation across the entire revenue engine — from first touch to closed-won to expansion. This is not a "prompt engineering" role. This is a builder role. You will sit at the intersection of revenue operations, sales, marketing, and customer success, and your job is to make every human on the GTM team dramatically more productive by deploying AI systems that generate pipeline, accelerate deals, and reduce churn. You report directly to the CEO. WHAT THIS ROLE MUST DO TO CHANGE FLOSUM'S TRAJECTORY • Deploy and personally train at least one AI SDR agent within the first 30 days — focused on either inbound qualification from Qualified/Marketo or outbound prospecting via Outreach — and run weekly refinement cycles until it outperforms the bottom half of the human BDR bench., • Build an AI-powered inbound qualification system that captures, scores, and routes every website visitor and form fill in real time so no lead waits, no lead gets lost, and AEs only touch prospects that are ready to buy., • Increase revenue-generating time per AE from the current ~25% to 50%+ by automating CRM hygiene, call summarization (via Gong), follow-up sequencing, proposal drafting, and pipeline updates — eliminating every minute of admin work that doesn't directly produce revenue., • Architect the AI layer across Flosum's GTM stack (Salesforce, Marketo, Outreach, Qualified, Gong) so that data flows between systems without manual intervention, every customer touchpoint is captured, and AI agents share learnings in a virtuous loop with Salesforce as the hub., • Build and maintain an AI-driven competitive intelligence engine that monitors our competition, pricing changes, and product launches — and feeds structured insights to sales and product weekly., • Create hyper-personalized outbound campaigns at 10x current volume without proportional headcount increase — using AI to research accounts, generate personalized messaging based on ICP signals (Salesforce team size, current DevOps tooling, compliance requirements like DORA), and sequence multi-channel touches across email, LinkedIn, and phone., • Instrument a closed-loop data feedback system between BDR activity, pipeline outcomes, and AI agent performance so that ICP targeting, messaging, and channel mix improve every week based on actual conversion data — not guesswork., • Deploy AI-assisted customer health scoring and churn prediction models that flag at-risk accounts before renewal, feeding Terry's CS team with actionable intervention triggers tied to usage data, support ticket patterns, and engagement signals., • Prototype AI-powered product-led growth touchpoints — including conversational qualification on the website, self-serve onboarding assistance, and automated nurture for trial users — supporting the PLG motion as it matures., • Evaluate, select, and deploy no more than two AI vendors per use case using a structured bakeoff methodology: reference checks via email, FDE conversations before contract, and 30-day dedicated training commitments — no lazy agency deployments. Hands-on experience deploying and training AI SDR/BDR agents in a real B2B sales environment — not evaluating, not advising, actually deploying and iterating weekly for at least 90 days. Deep working knowledge of the modern B2B GTM stack — specifically Salesforce (as CRM and data hub), Marketo or equivalent MAP, Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer, but you need to ship working code, not just configure no-code tools. Understanding of pipeline math and unit economics: you should be able to work backward from a revenue target to SQLs required, conversion rates by stage, and the specific AI interventions that move each number. If someone says "we need 67 SQLs per quarter at 20% win rate and $75K ASD," you should immediately know where AI can compress that funnel. Experience with AI agent orchestration — managing multiple AI agents working different segments or functions simultaneously, resolving conflicts, preventing duplicate outreach, and maintaining data quality in the hub (Salesforce). Demonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agents — treating agent training as a discipline, not a one-time setup. Comfort operating in a company doing ~$4M ARR with a small, high-intensity team. You will not have a large support staff. You will do the work yourself and scale through automation, not delegation. Strong opinions on when AI should replace human effort versus augment it — and the judgment to know that bad AI automation destroys deals faster than no automation at all. Familiarity with the Salesforce ecosystem — understanding of DevOps, CI/CD, data protection, and compliance workflows is a major advantage. You don't need to be a Salesforce admin, but you need to understand what our buyers care about and why Why Flosum • Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational., • Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem., • Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate., • AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next., • Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits • Competitive base salary + performance bonus, • Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement

Title: Software Engineer Company: AI/ML R&D Location: United Kingdom (Remote, unless visa sponsored) Pay: Up to £100,000 Company: The AI R&D arm of a major chip subsidiary are looking for a Software Engineer to join the AI Kernel team. Comprised of a team of elite global technical experts in Compiler, AI and GPU research, you will work on some of most cutting edge developments in the AI acceleration world - some of which are so advanced they still years from being made public. Contributing significantly to the open-source community, you will make an impact on the wider tech world. Role: This position is best described as an AI Kernel / GPU Kernel Engineer position. You will make a significant impact on the business by owning the design and implementation of novel AI Kernels for deep learning operations. You will optimise hardware accelerators in collaboration with deep learning researchers, translating their high-level models into low-level, high-performance code. About you: • 3+ years' experience in GPU development, • Experience developing GPU/AI Kernels, • Experience engineering for AI/ML workloads, • Experience with any of: CUDA, OpenCL, HIP, SYCL, • Knowledge of deep learning algorithms, • Interested in optimising tough linear algebra equations, • Knowledge of AI framework internals (PyTorch, TensorFlow, ONNX etc) Full details are available. Please don't hesitate to get in touch with max @platform-recruitment. com to learn more.

About Digital.ai Digital.ai is the only AI-powered software delivery platform purpose-built for the enterprise, enabling the world’s largest organizations to build, test, secure, and deliver high-quality software. By unifying AI-driven insights, automation, and security across the software development lifecycle, Digital.ai empowers enterprises to deliver innovation with confidence. Trusted by 5,000 global enterprises, Digital.ai is redefining how enterprises build better software in an AI-driven world. Additional information about Digital.ai can be found at and on , , and We’re looking for a dynamic “New Logo” Account Executive for Devops to join our growing team and help drive the next wave of success in the UK. If you’re ready to make a lasting impact with a leading enterprise software provider, read on. As a “New Logo” Account Executive, Devops, you will be responsible for driving sales of our Devops solutions to new clients in the United Kingdom. Your focus will be on acquiring logo accounts and building long-term relationships with customers. You will leverage your knowledge of Devops to effectively communicate the value of our offerings and drive revenue growth in the UK. You’ll own the full sales cycle, from lead generation through to closing and establishing relationships with new customers. Your success will be defined not just by meeting revenue targets, but by your ability to create lasting value for our clients and establish Digital.ai as a trusted partner in their digital transformation journey. You’ll collaborate closely with internal teams, including product, customer success, and marketing, to ensure a seamless experience for our prospects and customers. We’re looking for someone who thrives in a fast-paced, high-impact environment and excels in the art of landing new accounts. Please note – Applicants must be located in the UK and have the ability to fluently speak/read/write English. • Identify and target potential clients in various industries, focusing on Devops needs., • Conduct thorough market research to understand customer requirements and trends in automated mobile and browser testing., • Develop and maintain a robust pipeline of sales opportunities through proactive outreach and networking., • Present and demonstrate Digital.AI's Devops solutions with your Systems Engineer counterpart to prospective clients, highlighting the unique value propositions., • Collaborate with the marketing team to align sales strategies with promotional activities and campaigns., • Negotiate contracts and close sales, ensuring favorable terms for both the client and Digital.AI., • Stay up to date on industry developments and competitor offerings to effectively position Digital.AI in the market., • Participate in industry events, conferences, and networking opportunities to promote brand awareness and generate leads., • Proven Success: 3+ years of experience selling enterprise software solutions to C-level and senior executives, with a proven ability to exceed quotas in complex, highly competitive markets., • Domain Expertise: Deep understanding of Devops, or adjacent technologies. You should be comfortable discussing the software development lifecycle and the technical jargon that comes with it., • Sales Methodologies: Experience with proven sales frameworks like MEDDPICC or Command of the Message, and the ability to adapt your approach based on client needs and challenges., • Consultative Sales Approach: Strong ability to engage clients with a solutions-oriented mindset, nurturing relationships and aligning Digital.ai’s offerings with their corporate initiatives and verifiable business outcomes., • Collaboration and Communication: Excellent verbal and written communication skills, with a collaborative mindset and the ability to work effectively with internal teams to achieve shared goals., • Self-Motivation & Resilience: A high level of perseverance, self-motivation, and the ability to stay focused under pressure., • Location: Must be located in the UK, • Language: Must be able to fluently speak/read/write English At Digital.ai, we’re more than just a software company — we’re a team of innovators, thinkers, and problem-solvers. By joining our sales organization, you’ll be part of a dynamic, collaborative environment that encourages professional growth and values diverse perspectives. You’ll work with some of the brightest minds in the industry, all while having the opportunity to shape the future of AI-enabled enterprise software development. If you're ready to take your sales career to the next level and make a real impact with a leading tech company, we want to hear from you. If you’re excited about this opportunity and believe you have the experience and drive to succeed, we’d love to connect. Apply today and let’s talk about how you can join us in redefining digital transformation for enterprises across the globe. Digital.ai offers phenomenal benefits such as: • Comprehensive health insurance and pension plan, • 25 days PTO, • Unlimited access to continuous learning and professional development with TalentLMS, • Flexible working arrangements, • Opportunity to work with a diverse, globally distributed team All are welcome to apply. We maintain compliance with federal, state, and local laws that prohibit employment discrimination on the basis of age, race, color, gender, identity, gender expression, sex, pregnancy, national origin, ancestry, religion, physical or mental ability, medical condition, sexual orientation, marital status, citizenship status, protected military or veteran status, and all other protected classifications. We welcome everyone and believe that diversity is the foundation of innovation. For individuals with disabilities who would like to request accommodation, please advise us within your job application or cover letter. FRAUD PREVENTION ALERT: please note that Digital.ai does not use third party recruiters. In our efforts to protect you against impersonation please check the email address or if you are contacted by an unfamiliar/third party requesting please reach out directly to Digital.ai.

Ajax Systems is an international technological company and Europe's largest security system manufacturer. In addition, the company offers solutions for video surveillance, smart homes, fire detection, and flood prevention. The product portfolio includes 180 wireless and wired devices for security and automation. Today, Ajax protects over 3.5 million users in 187 countries worldwide. The company employs 4,100 specialists. We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems. The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax's unwavering mission. Ajax Systems is a Ukrainian success story, a place of incredible strength and energy. • 5+ years of professional experience working as a Pre-Sales Engineer, Technical Manager, Technical Account Manager, • Strong knowledge of Physical Security systems (CCTV, IP surveillance, intrusion), • Result-oriented, outgoing, tenacious, self-motivated, a customer-focused approach, • Excellent verbal and written communication skills, • Proficient in business analysis, • Available for regular business trips and customer visits in the area, • Deliver technical trainings, seminars, presentations, and webinars for customers to increase their knowledge of products., • Introduce product roadmaps and new features to Ajax Systems customers., • Promote and introduce product solutions according to customer thesis, technical consultation, and support of key clients., • Market research and comparative characteristics of products of the competitors., • Develop long-term relationships with key partners of the company., • Test product features and write technical documentation for new products or solutions, and collaborate with the rest of the team., • Opportunity to work in one of the most recognized and innovative security manufacturers., • Opportunity to take on new challenges, advance your career, and make a meaningful impact., • Opportunity to be part of a fast-paced and dynamic environment that encourages creativity, critical thinking, and the exploration of new ideas., • Competitive compensation that includes a base salary and performance-related bonuses., • Car allowance, all business expenses and work tools are covered by the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

.NET Developer, C#, .NET 9, Angular 19, Web API 2 - Watford (Tech stack: .NET Developer, .NET 9, Web API 2, Entity Framework, Microservices, Azure, Programmer, Full Stack Engineer, Architect, .NET Developer) Have you ever thought about getting from London to Edinburgh in 30 minutes? My client, a world leader in aerospace technology, and has decided to undertake research into a subsonic train transportation system similar to Hyperloop. Hyperloop and other subsonic transportation systems like this are essentially a futuristic train like mode of transport that have the ability to travel at speeds of over 700mph. Their R&D centres in the UK are in need of some talented .NET Developer to help build the software applications and cloud platforms that they need to run advanced data analytics and capture information from the high speed tests that they are running on a daily basis. .NET Developer applicants should have knowledge of: .NET, .NET Core / ASP.NET MVC, C# and Azure SQL. They will provide training into: .NET 9, Web API 2, Entity Framework, Microservices, Azure, JavaScript, Angular 19, Bootstrap, Agile and MongoDB. All positions come with the following benefits: • 15% bonus., • 10% pension., • Weekly office code competition., • 5 days of brain-storming time per month., • 28 days holiday + 1 extra day off on your birthday. Location: Watford, Hertfordshire, UK / Remote Working Salary: £35,000 - £65,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC

We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release! _ • Close Collaboration: Work side-by-side with research scientists to conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing., • Improve model training pipelines. You’ll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments., • Optimize performance. You’ll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive., • Integrate models into production environments. You’ll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify’s users., • Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes., • Maintain a high-quality codebase. You’ll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team., • Enhance researcher experience. You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team., • You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks., • You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure., • You understand how to debug problems in machine learning training code., • You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents., • You have experience optimizing code for performance and can make GPUs “go brrr” (train at maximum efficiency)., • You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI., • You are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration., • You’re not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus., • You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like., • You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies., • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have_, • This team operates within the Central European and GMT time zone for collaboration., • Core working hours are CET 3pm-6pm / EST 9am-12pm.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

The Personalization team makes decisions about what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Backend Engineer to join our distributed team across Europe of hardworking engineers that are passionate about connecting new and emerging creators with users via recommendation algorithms. As an integral part of the squad, you will collaborate with engineers, research scientists and data scientists in prototyping and productizing state-of-the-art ML that serves at scale for hundreds of millions of users. • Design, develop, and deliver robust and scalable backend systems and APIs., • Collaborate with other engineers, product owners, and designers to identify and solve challenging problems and build new product features., • Write clean, maintainable, well-documented code, adhering to coding best practices., • Participate in the improvement of our software development standards and practices., • Stay up-to-date with emerging backend technologies and best practices., • Be a member of the Spotify-wide backend developer community affecting and driving our architecture across the company., • You have experience writing distributed, high-volume Java services and know how to deploy and keep them running in production., • You have a good understanding of data structures and algorithms, and understand how to apply them to design pragmatic solutions., • You have excellent analytical and problem-solving skills and can communicate your ideas to technical and non-technical audiences., • You love working in an environment where you constantly experiment and iterate quickly., • You believe data is the most powerful tool for informed decision-making., • You care about quality and you know what it means to ship high quality code., • This role is based in London., • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures,, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see, so you can immediately see the impact of your work. We have proved the concept with MVPs and POCs to grow to 2% of the UK market. Now we want to take it to the next level and build towards a state of the art solution, to fuel our expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right time. Your primary focus will be the pricing engine, which sets the fees added to every quote tem serves, carefully balancing growth and margin. You will also contribute to the systems which manage both short and long-term imbalance decisions to determine how tem deals with it’s exposure across its portfolio. This is a hands-on, senior individual contributor role with significant technical leadership and organisation-wide influence. You will work closely with other MLEs, software engineers and MLOps to bring models to production, and carry real ownership of the technical direction and accountable for its performance. The right person is energised by the greenfield environment: comfortable taking on ambiguity and able to make progress before the path is fully defined. They have built pricing systems that worked and have learned from the times it hasn't. They'll bring that hard-won judgment to a system where the foundations are still being laid, and where early decisions compound. Success will be turning our current reactive system into a pricing engine which proactively drives growth by targeting the right customers to sign at the right time. 🚀 Responsibilities: Own the technical direction for pricing ML: Define what to build and how within the pricing engine, setting the strategy and roadmap for pricing machine learning as a core piece of tem's IP. Build ML systems for price optimisation: Design and implement models that dynamically set prices, balancing the trade-off between signing probability, portfolio balance and margin maximisation. Solve imbalance problems: Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. Bridge modelling and production: Own the modelling and data layer while working closely with software engineers and MLOps to ensure models are architected for production, contributing to system design decisions that affect performance and reliability. Communicate pricing decisions clearly: Articulate model behaviour, assumptions, and trade-offs to other technical stakeholders so that pricing decisions are understood across the teams that depend on them. 🎯 Requirements: Must-haves: Deep experience building ML systems for pricing, revenue optimisation, or decision-making under uncertainty, with a track record of models that went from concept to production and delivered measurable commercial impact. Strong foundation in stochastic optimisation and probabilistic modelling, with the judgement to formulate ambiguous business problems as the right mathematical approach rather than reaching for familiar tools. Proven first-principles reasoning: you choose between stochastic programming, classical ML, reinforcement learning, or a simple heuristic based on the problem, not the technique you know best. The engineering craft to match your modelling depth: production-grade Python, a high bar for code quality and system design, and the ability to work alongside software engineers as a technical peer across the full ML lifecycle. Senior technical leadership in ML: a track record of setting direction for a significant technical area, influencing cross-functional teams, and translating complex model decisions into clear terms for commercial, product, and engineering stakeholders so they are understood and acted on. Bonus points: Experience with reinforcement learning or causal inference in applied, commercial settings. Familiarity with energy markets, power trading, or portfolio management. PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar). Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods (PyTorch etc), and the judgement to know when to reach for each. Experience working with high data throughput systems in production. 🗣️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

Web Developer Tech: PHP, NodeJS, HTML, CSS, JavaScript, Symfony Why? PE Investment and huge career progression Location: remote with travel to Reading Area office on day 1 and monthly • Do you have 3+ years experience using PHP?, • Do you have 1+ years' commercial experience using NodeJS? A forward thinking Software Vendor is looking for a PHP Developer to be part of the internal IT systems development team. You will work in an agile environment with other teams (including product development, sales, support, and marketing) to deliver business applications based largely on web technologies. An exciting future project will involve supporting a Greenfield SaaS Platform build using modern NodeJS. This is a great opportunity to use your expertise whilst having the opportunity use modern technology and methodologies to create exciting products for clients. Responsibilities include: Web Developer • Design, code, test, document, maintain, and support web-based applications, • Contribute to requirements, design specification, and technical documentation, • Research emerging technologies and products; recommend suitable products and plan implementation, • Contribute to project planning (agile development), • Support and suggest architectural decisions Experience Required: Web Developer • 3+ years' commercial software development experience using PHP, • 1+ years' commercial experience using NodeJS, • Beneficial experience using Symfony, • Experience with Object-oriented techniques and relational databases (MySQL or Postgres would be ideal), • Collaborative approach to develop and maintain professional working relationships, • Strong written and verbal communication skills For more information, please contact Katie at Matched. Senior PHP Developer / PHP Developer / Senior Software Developer / Senior Software Engineer / Software Developer / Software Engineer / PHP

Ajax Systems is an international technological company and Europe's largest security system manufacturer. In addition, the company offers solutions for video surveillance, smart homes, fire detection, and flood prevention. The product portfolio includes 180 wireless and wired devices for security and automation. Today, Ajax protects over 3.5 million users in 187 countries worldwide. The company employs 4,100 specialists. We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems. The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax's unwavering mission. Ajax Systems is a Ukrainian success story, a place of incredible strength and energy. • 5+ years of professional experience working as a Pre-Sales Engineer, Technical Manager, Technical Account Manager, • Strong knowledge of Physical Security systems (CCTV, IP surveillance, intrusion), • Result-oriented, outgoing, tenacious, self-motivated, a customer-focused approach, • Excellent verbal and written communication skills, • Proficient in business analysis, • Available for regular business trips and customer visits in the area, • Deliver technical trainings, seminars, presentations, and webinars for customers to increase their knowledge of products., • Introduce product roadmaps and new features to Ajax Systems customers., • Promote and introduce product solutions according to customer thesis, technical consultation, and support of key clients., • Market research and comparative characteristics of products of the competitors., • Develop long-term relationships with key partners of the company., • Test product features and write technical documentation for new products or solutions, and collaborate with the rest of the team., • Opportunity to work in one of the most recognized and innovative security manufacturers., • Opportunity to take on new challenges, advance your career, and make a meaningful impact., • Opportunity to be part of a fast-paced and dynamic environment that encourages creativity, critical thinking, and the exploration of new ideas., • Competitive compensation that includes a base salary and performance-related bonuses., • Car allowance, all business expenses and work tools are covered by the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises. We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year. Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development. This is a role for someone who holds the bar across everything Poolside puts into the world. You'll work across the full surface area of our experience. Product, marketing, systems, and brand; bringing the same level of craft and attention to a complex product flow as you do to a polished marketing page. You'll write reusable, production-quality code alongside your design work, contributing components and systems that the engineering team actually builds on. You'll partner closely with other Designers and Design Engineers on brand and external surfaces, and with Product Engineering on implementation. The scope here is intentionally wide. We're a small team with cross-pollinating skillsets, and this person raises the quality of everything around them. Not by owning a narrow lane, but by holding a high visual bar across the whole company and knowing how decisions in one surface ripple into another. YOUR MISSION To set the experiential standard for Poolside, ensuring everything we ship, across every surface, reflects the quality of the intelligence behind it. Own the quality and consistency of Poolside's design across product, marketing, brand, and systems surfaces. Build and evolve our design system; not just a component library, but a design pipeline that scales with the company. Write reusable, production-quality frontend code: components and systems others can build on, not one-off pages. Partner with Design Engineers on external-facing surfaces, ensuring brand and marketing reflect the same bar as the product. Collaborate with Product Engineering to bring design system work into production and keep it alive as the product evolves. Hold the visual bar across the team. Your taste and judgment should be raising the standard for everything around you. Visual craft; high polish, typographic sensitivity, and attention to detail across product and brand contexts. You produce work that looks as good as it functions. Experience designing across the full experience of a company: product, marketing, design systems, and brand. Not a specialist in one. Proficiency producing reusable, clean frontend code. Components and systems, not just one-off pages. A genuine history of building with code: scripts, tools, personal projects shipped from scratch. You can speak concretely to what you built and why. Genuine familiarity with developer workflows; version control, local environments, the command line, deployment pipelines. Not as a curiosity, but as your natural habitat. Deep experience designing for developer tools specifically, not general consumer or enterprise products. Experience building design systems, not just maintaining them, but defining the pipeline and getting others to adopt it. Systems thinker: you see how decisions in one surface affect another and design accordingly. Intro call with one of our Designers Design interview with a Design Engineer (Brand). Come with 1–2 projects you forged, not just executed Technical interview with a Product Engineer. Expect questions on how you build and think about developer workflows Team fit call with the People team Final interview Fully remote work & flexible hours 37 days/year of vacation & holidays Health insurance allowance for you & dependents 16 weeks of flexible, full-pay parental leave Well-being, always-be-learning & home office allowances Company-provided equipment Frequent team get togethers Diverse & inclusive people-first culture

Job Title: AI Engineer Location : Edinburgh UK Work mode : Hybrid Experience: 8 + Years Key Responsibilities: Design, develop, and deploy end-to-end AI/ML solutions from data ingestion to production. Build and optimize ML/DL models for NLP, computer vision, recommendation systems, and predictive analytics. Implement and maintain MLOps pipelines (CI/CD for ML) for scalable deployment and monitoring. Collaborate with cross-functional teams (data scientists, engineers, product managers) to define AI-driven solutions. Research and integrate Generative AI (LLMs, diffusion models, transformers) into real-world applications. Drive data strategy, including data collection, preprocessing, and feature engineering. Optimize models for performance, scalability, and cost-effectiveness in cloud/on-prem environments. Mentor junior engineers and contribute to best practices in AI development. Required Skills & Qualifications: Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face). Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases). Deep understanding of neural networks, reinforcement learning, and generative models. Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong knowledge of SQL/NoSQL databases and data engineering practices. Soft Skills: Excellent problem-solving, communication, and leadership abilities.

Defence Training Supervisor/Training Architect {MoD} Andover 1, 2 or 3 days a week. up to £76,000 + Car + Private Health + 6-8% Pension + Discounts + Progression + Training Are you a Defence Training Supervisor/Training Architect or similar with a military background looking for an autonomous role where you will be tasked with designing and developing the next generation of training solutions for the Ministry of Defence during our current global crisis. Do you want a role that is both challenging and rewarding where you will be working for one of the UK's biggest global defence organisations on specialist projects across all the forces. On offer, is the unique opportunity for a Military Training Solutions Architect to join a leading and international UK defence company. Established around 150 years ago, this defence powerhouse has remained at the forefront of research, training, development and innovation the MoD and has its name to some of the largest training and defence projects the world has to offer. In this role, the successful Military Training Solutions Architect would be responsible for implementing training and developments solutions and systems across a range of military clients ranging from the RAF, Navy, Army and more. This role will be both challenging and rewarding, giving you the opportunity to use all the skills you have developed as well as the autonomy to think outside the box to complete the specific requirements. The ideal Military Training Solutions Architect would ideally come from a military background and have been involved in the training and development. Have business acumen as well as be able to implement systems, simulations and or similar to improve training and development across a range of military customers. The Role: • Create technical specifications such as system and user development requirements, • Develop training compliance management plans, • Provide thought leadership and subject-matter expertise on training systems and platforms., • Build and maintain effective relationships internally and externally, • Maintain currency in new platform and training system development The Person: • Ex Military or similar., • MCTS/CAST/CATT/DST/DSAT or similar., • Implement training solutions and systems/simulations., • Build and maintain effective relationships internally and externally, • Work in Andover 1/2/3 day's a week. Keywords: Systems Engineer, Systems Analyst, Training & Development, Military Training, Warrant Office, Defence, MoD, Solutions Architect If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.