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An opportunity has arisen for a Technical Solutions Engineer, based in Elstree, Hertfordshire to join a leading innovative communications provider for critical solutions. As a Technical Solutions Engineer, based in Elstree, Hertfordshire you will specialise in research, design and testing of radio frequency-based products including low-band UHF technology (420-470 MHz) and two-way radio solutions. ... ZIPC1_UKTJ

Electrical Shift Leader Mitcham, Surrey £48,000 Continental shift (Days & Nights) 07:0019:00 / 19:00-07:00 My client is a Technical M&E & FM company who are recruiting a Shift Leader to work at a commercial office build in Mitcham, managing critical building systems on behalf of a research company occupying the floors. This is an excellent opportunity for a strong, capable electrical engineer/lead... ZIPC1_UKTJ

Firewall Engineer - Palo Alto • Permanent full time role with large financial services company, • Salary circa £80,000 plus bonus and benefits, • Hybrid working (3 days in the office), • Palo Alto background is essential We’re looking for an experienced Engineer to help design, manage, and improve a large enterprise firewall environment. This role will focus on hands-on support and projects across on-prem and cloud platforms. Responsibilities will include: * Designing and deliver enterprise-scale firewall solutions * Lead security and network modernisation projects * Research and introduce new security technologies * Provide Tier 3 support for complex issues * Document designs and share knowledge * Mentor and support other engineers To be considered suitable you will need the following skills/experience: * Strong background with Palo Alto firewalls (Panorama, NGFW, Prisma Access) * Strong enterprise network experience * Palo Alto certification - PCNSE * Good understanding of network security

We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing • Design and optimise scalable RAG pipelines and vector search systems, • Orchestrate multi-model AI services with a focus on latency, resilience and performance, • Productionise GenAI workflows and ensure they operate reliably under real usage, • Build and run AI services across AWS and Databricks, • Develop ingestion, embedding and retrieval pipelines, • Deploy containerised workloads via Kubernetes and Helm, • Implement Infrastructure-as-Code using Terraform, • Introduce end-to-end monitoring, tracing and alerting for AI workloads, • Improve inference and retrieval performance while reducing operational cost, • Establish fault-tolerant, scalable infrastructure patterns, • Embed security, evaluation and governance into the AI lifecycle, • Build CI/CD pipelines and automation to support continuous model deployment, • Create reusable platform components to accelerate future AI initiatives Strong experience in: • Cloud infrastructure engineering (AWS-focused environments), • Kubernetes, containerisation, and distributed systems, • Terraform / Infrastructure-as-Code, • CI/CD, automation, and platform reliability, • Running production workloads with high availability requirements Plus, experience with one or more of the following: • MLOps or ML platform engineering, • RAG architectures, embeddings, or vector search, • Model serving, observability or performance optimisation, • Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? • Work on real-world AI systems operating at scale, • Own platform design decisions and influence long-term architecture, • Blend modern DevOps practices with cutting-edge Generative AI use cases, • Be part of a growing, innovation-driven engineering environment, • Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MSR2 INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.

SOC Engineer - SIEM, Exabeam, SOAR, EDR, IDS/IPS, MITRE, Azure, SC-200, SC-100, Our leading global law firm client are currently looking to take on a new SOC Engineer (SIEM, Exabeam, SOAR, EDR, IDS/IPS, MITRE, Azure, SC-200, SC-100) to join their team on a contractual basis. The firm are an extremely modern law firm which offer a healthy hybrid working solution 2-3 days per week in London and offer a great deal of autonomy and technical exposure. This SOC Engineer (SIEM, Exabeam, SOAR, EDR, IDS/IPS, MITRE, Azure, SC-200, SC-100) role, will be responsible for the enhancement of existing SIEM platform and improve performance, coverage and fidelity by conducting regular assessments of the SIEM architecture. To be considered for this SOC Engineer (SIEM, Exabeam, SOAR, EDR, IDS/IPS, MITRE, Azure, SC-200, SC-100)Defender) role, it's ideal you have: • 3 + years within a similar role, • Ideal but not required law firm experience, • Enhance and optimise the existing SIEM platform to improve performance, coverage, and fidelity., • Conduct regular assessments of SIEM architecture and propose improvements to ingestion pipelines, parsing rules, correlation logic, and storage management., • Identify, prioritise, and onboard new log sources from cloud, on-prem, network, endpoint, identity, and application platforms., • Develop and maintain custom parsers, connectors, and ingestion playbooks., • Design, implement, test, and tune detection use cases based on attacker techniques (MITRE ATT&CK), threat intelligence, and risk appetite., • Build correlation rules, anomaly-based detections, dashboards, and alerting workflows., • Work closely with SOC analysts to validate and refine detection logic., • Support incident investigations through SIEM searches, enrichment, and data modelling., • Maintain high-quality documentation covering data models, feed onboarding, use cases, correlation logic, and architecture. Technical Expertise • Hands-on experience with leading SIEM platforms (e.g., Exabeam, LogRhythm, ArcSight, Microsoft Sentinel, Splunk, QRadar, Elastic)., • Strong understanding of log formats (JSON, syslog, XML, CEF, etc.) and ingestion technologies (Syslog, API, Event Hubs, Kafka, Agents)., • Practical knowledge of detection engineering, threat modelling, and attacker behaviour analysis., • Experience building and tuning correlation rules, searches, and dashboards., • Strong understanding of networking, Windows/Linux systems, Cloud platforms (Azure/AWS/GCP), identity systems, and endpoint protection technologies (e.g. SentinelOne and Microsoft Defender), • Level 4 or higher qualification in a computing subject, or equivalent experience, • IT experience including both IT Infrastructure and Information Security roles, • Relevant professional certifications that validate the fundamental skills required to perform the role, e.g. GIAC (GCIA,GCDA,GMON) Microsoft SC-200/SC-100, CompTIA Secure Infrastructure Specialist (CSIS), SSCP/CISSP etc, • Strong skill level in scripting technologies, including Python, MS PowerShell and PowerApps, • Ability to conduct research into Infrastructure issues and products as required, • Self-starting with strong interpersonal, written, and oral communication skills., • Data Loss Prevention, • Secure Remote Access solutions, • Network Security solutions, • Open Source and Cyber Threat Intelligence, • Suitable experience working with the market leading technology vendor product suites, • Experience in software-defined and cloud services such as SaaS, IaaS, PaaS and DaaS, • Experience in Disaster Recovery Management and Business Continuity, • Knowledge of applicable data privacy practices and laws

I am currently working with a London-based financial services client who are actively seeking a Senior Fullstack Python Developer to work on the development of a next-generation research platform.What you'll need to succeed: • Strong Python software engineering experience beyond exploratory scripts, • Hands-on experience working with notebooks as part of real analytical or research workflows, • Experience building systems that support data analysis, simulations, or computational research, • Understanding of the challenges around reproducibility, dependency management, and scientific software performance, • Comfortable working across the stack (backend + UI or APIs), • Ability to collaborate closely with non-traditional "software engineer" users such as researchers, quants, or scientists, • Up to £1100pd Umbrella., • Initial 12-month contract with extensions. Hays Specialist 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 hays.co.uk

Network Automation Engineer Hybrid - Automation (Python/Ansible/Terraform) - Palo Alto This is an engineering role focused on enterprise network design, implementation, security and modernisation. The successful candidate will take ownership of complex infrastructure initiatives, working closely with architecture teams and senior stakeholders to deliver projects from concept through to full implementation. There is a focus on Automation (Python/Ansible/Terraform) and Palo Alto experience, particularly within a project environment rather than BAU. Key Responsibilities * Implement new network and network security technologies as defined by enterprise architecture. * Build, configure and test network infrastructure solutions across on-prem and cloud environments. * Contribute to the research and recommendation of innovative technologies to improve performance, resilience and scalability. * Engineer solutions using enterprise blueprints and standards. * Design and implement resilient architectures with disaster recovery and business continuity in mind. * Work with technologies including switches, routers, firewalls, wireless platforms, SDN fabrics, load balancers, NAC and cloud networking components. * Provide Tier 3 engineering support for complex incidents and escalations. * Participate in a 24x7 on-call rotation as required. * Produce and maintain detailed network documentation using Microsoft Visio. * Maintain and continuously improve network security posture in line with regulatory frameworks including PCI-DSS, PII, CIS and NIST. Required Experience & Skills * 5–7+ years of experience designing, implementing and supporting medium to large enterprise networks (10,000+ users). * Palo Alto firewall platforms (Pan-OS, Threat Prevention, User-ID, GlobalProtect, HA, Prisma Access) • Automation and Scripting (Python/Ansible/Terraform, • Strong hands-on experience with Cisco enterprise technologies. CCNP Enterprise (R&S) level knowledge required. * 1–2 years’ experience designing and supporting data centre spine-leaf fabrics (Cisco / Arista). * Experience with Cisco DNA Center. * Experience with SD-WAN technologies (Cisco, Palo Alto ION). * Enterprise-scale Cisco Wireless experience (WLC, FlexConnect, CAPWAP). Desirable Experience * Remote access VPN technologies. * Certificate lifecycle management (Venafi, PKI). * NAC solutions (Cisco ISE, Forescout). * Infoblox DNS / IPAM. * Cloud networking design and security principles. * Network monitoring tools such as SevOne, SolarWinds, Datadog or Splunk. * Knowledge of network security architecture, IDS/IPS, VPNs and SSL technologies. Network Automation Engineer Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Job Title: Machine Learning Engineer (Mid-Level) Salary: £70,000 Location: London Employment Type: Full-Time The Company Our client is an innovative and rapidly growing technology-driven organisation based in London. The business is building advanced data and AI capabilities to support intelligent products, predictive analytics, and automated decision-making across its platforms. With a strong investment in data infrastructure and machine learning technologies, the company is creating an environment where engineers can work on complex problems, develop scalable ML solutions, and collaborate closely with data scientists, engineers, and product teams. This is an exciting opportunity to join a high-performing team focused on delivering cutting-edge machine learning solutions that have a direct impact on business outcomes and product innovation. The Role The company is seeking a Mid-Level Machine Learning Engineer to design, build, and deploy machine learning models into production environments. You will work closely with data scientists and software engineers to develop scalable ML pipelines, optimise model performance, and integrate machine learning capabilities into production systems. The role involves working with large datasets, building robust ML systems, and supporting the full lifecycle of machine learning solutions—from experimentation to deployment and monitoring. Key Responsibilities Machine Learning Development • Develop, train, and optimise machine learning models for production applications, • Work with large datasets to build predictive and analytical models, • Collaborate with data scientists to transition models from research to scalable production systems ML Engineering and Deployment • Design and maintain machine learning pipelines and model deployment infrastructure, • Implement automated model training, validation, and monitoring processes, • Ensure models are scalable, reliable, and performant in production environments Data Engineering and Infrastructure • Work with data engineers to build efficient data pipelines and feature engineering processes, • Optimise data workflows to support model development and experimentation, • Contribute to the development of robust ML infrastructure and tooling Collaboration and Product Integration • Work closely with product, engineering, and analytics teams to integrate ML models into applications, • Translate business requirements into machine learning solutions, • Communicate technical insights clearly to stakeholders Continuous Improvement • Monitor model performance and retrain models as required, • Identify opportunities to improve algorithms, data pipelines, and system performance, • Stay up to date with emerging machine learning technologies and best practices Skills and Experience • Strong programming skills in Python, • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Experience working with SQL and large datasets, • Familiarity with data pipelines, feature engineering, and model optimisation, • Understanding of MLOps practices, model deployment, and monitoring, • Experience working with cloud platforms such as AWS, GCP, or Azure, • Strong analytical thinking and problem-solving skills Experience Required • 3–5 years’ experience in Machine Learning Engineering, Data Science, or AI development, • Experience deploying machine learning models into production environments, • Background working with large-scale data systems or data platforms, • Degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative discipline What the Company Offers • Competitive salary of £70,000, • Opportunity to work on real-world machine learning systems and advanced AI solutions, • Collaborative engineering culture with strong technical mentorship, • Exposure to large datasets and cutting-edge ML technologies, • Clear career progression within a growing data and AI team, • Modern office environment in London This is an excellent opportunity for an ambitious Machine Learning Engineer who wants to work on impactful AI projects and contribute to building scalable machine learning systems within a growing and innovative organisation.

Service Manager 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 Service Manager. The successful candidate will lead and coordinate the UK service function, managing a team of engineers and ensuring high-quality delivery of installation, maintenance, and customer support services. This role is both operational and customer-facing, requiring strong leadership and engineering understanding. Package: • Salary £45,000 - £50,000 (DOE), • 25 days holiday + bank holidays, • Company pension scheme, • Early finish Fridays, • Manage day-to-day operations of the service and installation function, including scheduling, field engineers, and service desk activity, • Manage customer communication and stakeholder relationships, ensuring clear updates, timely responses, and high service levels, • Lead, coach, and develop the team, including task allocation and performance management,, • Act as escalation point for complex technical and service issues, ensuring effective resolution and customer satisfaction, • Oversee installation, commissioning, maintenance, and repair activities, including on-site support where required, • Manage service contracts, warranties, and maintenance agreements, supporting renewals, growth opportunities, and commercial performance, • Manage service budgets, costs, and resource allocation to ensure operational efficiency, • Maintain accurate service documentation and records in line with company and regulatory requirements, • Time-served engineer or HNC/HND/degree in engineering or manufacturing, • Previous experience working as a Service Manager in a technical engineering environment, • Strong customer service and relationship-building skills, • Ability to prioritise, organise, and delegate effectively, • Excellent communication skills, written and verbal, • Comfortable handling customer communication via phone, email, and virtual meetings, • Commercial awareness with exposure to contracts or service sales support Streamline 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 application.

Maintenance Engineer Research Environment (Estates) Salary: £51,429 - £62,783 per annum, inclusive of London allowance, plus an additional allowance of up to £5,000 will be considered for exceptional candidates Permanent, full-time London, UK About us The MRC Laboratory of Medical Sciences (LMS) is a biomedical research institute where scientists and clinicians collaborate to advance the understanding of biology and its application to medicine. LMS is one of three directly funded MRC research institutes and enjoys close links with our partners at Imperial College London and the Imperial College Healthcare NHS Trust. About the role It is an exciting time to join LMS as we have recently moved into a new state-of-the-art building. We are looking for a skilled professional to ensure its smooth operation. As a key member of our Estates team, you will be providing electrical and/or mechanical reactive maintenance (RM) on all plant systems and services. You will undertake works on behalf of the Estates team, including supervising external service providers and contractors and liaising with end users to plan in repair works or project works as required. About you The ideal candidate will have experience in a complex building with responsibility for electrical and/or mechanical systems. Good communication skills are essential for planning works whilst taking into account health & safety requirements and the needs of the building users. You are expected to have experience in supervising external contractors and have completed a recognised electrical or mechanical apprenticeship or hold equivalent qualifications. What we offer As well as the exciting opportunities this role presents, we also offer a defined benefit pension scheme and excellent holiday entitlement (30 days plus 2.5 privilege days & 8 bank holidays), family-friendly policies, a range of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and Wellbeing Support and a salary sacrifice cycle to work scheme. Please follow this link to find out more - How to apply For full details of these posts and to complete an online application, visit and upload your CV. Closing date: 31 May Final appointment will be subject to pre-employment screening Please note that applications may be reviewed by both LMS and Imperial staff

Senior C++ Developer - London Based in the City of London (2 days in the office)/6 months rolling/£650 per day (Inside IR35) A global leading fintech solutions company and member of the Fortune 500, seek an experienced Senior C++ Developer/Software Engineer, to be responsible for preparing programming assignments, including the design, planning and supervision of the implementation of large-scale system projects. This will include: Reviews, analysing, and modifying programming systems including encoding, testing, debugging and installing for a large-scale Mainframe computer system. Essential Duties and Responsibilities for the Senior C++ Developer/Software Engineer: • Maintains project estimates and project management timelines for multiple major projects., • Verifies completeness and accuracy of specifications for multiple major projects to be estimated (eg, report changes, control file changes, file fixes)., • Determines programming requirements for multiple major projects (eg, product updates, conversions)., • Develops requirements for system enhancements., • Conducts research and documents findings and recommendations by using analytical problem solving., • Provides client support, training, testing and vendor relations., • Recent Financial based industry experience., • Maintains and develops on-line and batch application programs., • Codes programs that interface with multiple applications., • Trains new employees on all aspects of an application or system product., • Develops complex procedural language routines., • Provides applications development and support and utilizes troubleshooting and diagnostic tools., • Monitors, measures, and optimizes individual and combined utilisation of hardware, software, and telecommunications components., • Responsible for software Installation and maintenance - may act as project leader., • 7+ years of commercial software development experience using C++, • SQL experience., • Relevant degree in a numeric discipline, or equivalent work experience., • Unix/Linux experience., • Experience of financial markets and the trade life cycle beneficial. Based in the City of London (2 days in the office)/6 months rolling/£650 per day (Inside IR35)

Network Engineer Hybrid - Palo Alto - Automation (Python/Ansible/Terraform) This is an engineering role focused on enterprise network design, implementation, security and modernisation. The successful candidate will take ownership of complex infrastructure initiatives, working closely with architecture teams and senior stakeholders to deliver projects from concept through to full implementation. There is a focus on Automation (Python/Ansible/Terraform) and Palo Alto experience, particularly within a project environment rather than BAU. Key Responsibilities * Implement new network and network security technologies as defined by enterprise architecture. * Build, configure and test network infrastructure solutions across on-prem and cloud environments. * Contribute to the research and recommendation of innovative technologies to improve performance, resilience and scalability. * Engineer solutions using enterprise blueprints and standards. * Design and implement resilient architectures with disaster recovery and business continuity in mind. * Work with technologies including switches, routers, firewalls, wireless platforms, SDN fabrics, load balancers, NAC and cloud networking components. * Provide Tier 3 engineering support for complex incidents and escalations. * Participate in a 24x7 on-call rotation as required. * Produce and maintain detailed network documentation using Microsoft Visio. * Maintain and continuously improve network security posture in line with regulatory frameworks including PCI-DSS, PII, CIS and NIST. Required Experience & Skills * 5–7+ years of experience designing, implementing and supporting medium to large enterprise networks (10,000+ users). * Palo Alto firewall platforms (Pan-OS, Threat Prevention, User-ID, GlobalProtect, HA, Prisma Access) • Automation and Scripting (Python/Ansible/Terraform, • Strong hands-on experience with Cisco enterprise technologies. CCNP Enterprise (R&S) level knowledge required. * 1–2 years’ experience designing and supporting data centre spine-leaf fabrics (Cisco / Arista). * Experience with Cisco DNA Center. * Experience with SD-WAN technologies (Cisco, Palo Alto ION). * Enterprise-scale Cisco Wireless experience (WLC, FlexConnect, CAPWAP). Desirable Experience * Remote access VPN technologies. * Certificate lifecycle management (Venafi, PKI). * NAC solutions (Cisco ISE, Forescout). * Infoblox DNS / IPAM. * Cloud networking design and security principles. * Network monitoring tools such as SevOne, SolarWinds, Datadog or Splunk. * Knowledge of network security architecture, IDS/IPS, VPNs and SSL technologies. Network Engineer Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Vulnerability Engineer | High-Growth Cybersecurity Scale-Up | Fully Remote (UK) • Remote – UK Based, • £85,000 + benefits Join a research-driven, venture-backed cybersecurity scale-up trusted by Fortune 500 enterprises and critical infrastructure providers. Recognised by Gartner, $29M funded, and scaling fast worldwide. As a Vulnerability Engineer, you’ll sit at the intersection of vulnerability research and software engineering – finding bugs, building tools, and pushing the limits of LLM-powered offensive security workflows. What you’ll be doing: • Hands-on research across 0-days and n-days, with patch diffing on source-available and binary-only targets, • Building internal tooling for automated vulnerability discovery, exploit validation, and detection, • Implementing production-grade, LLM-powered research workflows, • 2+ years of hands-on vulnerability research experience, • Familiarity with n-day reproduction and patch diffing, • Exposure to both web and binary vulnerability classes, • Software engineering experience, ideally in Python, • Comfort with Burp Suite, Ghidra/IDA, debuggers, fuzzers, • Genuine interest in using LLMs to accelerate security workflows

Calling all Commissioning and Qualification Engineers who have worked on high end capital equipment within the Pharma, Cosmetics or Food and Beverage industry. I want to speak to you about a critical role. Our client who supplies reference level process manufacturing equipment from their European principal suppliers to top tier pharmaceutical manufacturers in the UK and Ireland are looking to appoint a highly skilled and experienced Commissioning Engineer to work on the high profile projects. The projects can range from low complexity modifications to larger capital equipment contracts which are in the range of £250k-£2m and typically have a 2month design phase, 4month build phase and a 5-12 month installation, testing and qualification stage. As part of the Operations Team the C&Q Engineer will provide pre-delivery testing, installation, re-assembly, start up, commissioning, IQOQ, cycle development, novel project works and breakdown support in line with contractual commitments. The role is site based and involves frequent travel and stays away. Our client are technical experts in their field and this customer facing hands on technical role is crucial to delivering compliant projects to agreed scope and timelines. Key Attributes • Excellent written and spoken English & communication skills, Excellent customer handling, planning and organisational skills, • An engineering or technology qualification (degree or equivalent), • Must have an analytical way of thinking and understand how process equipment works and interacts with its environment., • Must like the challenge of working with bespoke equipment where bugs are not all found before delivery and where commissioning could be seen as the final part of the design-set-up of customised plant. Therefore, the operation of all our equipment needs to be understood from core principles rather than reading from a manual or work repetition., • High attention to detail with the ability to pre-empt problems and seek solutions, • Must have a good understanding of automation/controls technology and mechanical/electrical engineering. Knowledge of sterile process technology and pharmaceutical industry would be useful., • Minimum 5 years’ experience in similar site role., • Must be able to demonstrate proficiency with commonly used computer programs. These include MS Windows, MS Word and MS Excel, • Able to work effectively and efficiently autonomously whilst being an integral part of a team, • Frequent travel and stays away of multiple consecutive weeks are a fundamental element of the role. Normally travel will be within the UK and Ireland but occasional travel to elsewhere in Europe can be expected, • Must have a flexible and adaptive attitude and be able to work on own initiative, sometimes under pressure, • Have a full and clean driving licence, • Hold a valid passport for travel within Europe Job Description Role Reporting to the Technical Manager and working closely with the Project team and Technology SME’s the C&Q Engineer in engaged with the installation, commissioning, testing, optimisation and validation of process equipment to make sure it is functioning correctly and produces the expected results. In doing so the C&Q engineer brings an item of equipment or a system to the point at which it can be used most effectively, the C&Q engineer must therefore possess a thorough understanding of the equipment design, its intended use and what Steritech are committed to provide. Primary: (in no particular order) • Provide installation, re-assembly, start up, commissioning, IQOQ, cycle development, novel project works and breakdown support in line with contractual commitments and to a standard consistent with the high quality of the equipment and services our client supply, representing the company in a professional and dutiful manner at all times., • Role specific administration such as reporting, invoicing, expenses, and time sheets, • Effective communications to our customers, internally at our client and with their suppliers., • Proper and conscientious management when in control of our clients equipment, including test equipment, computer equipment etc., • As requested by management be an active contributor in new equipment design qualification process discussions, • When requested by management support colleagues in meetings where expertise/experience can be beneficial e.g., Risk Assessment, FMECA, HAZOP and RCA, • In the pursuit of site activities be a front-line interface with principal supplier automation, engineering and process departments. Disseminate information as required, • Provision of Technical Support to both to customers and internally to colleagues, • Support the wider operations teams through the provision of routine services as and when requested e.g., equipment maintenance, calibration and technical intervention services Secondary: (in no particular order) • Train and gain experience in the equipment and services our client offers, plus the market and expectations of our customers., • Contribute to other departments initiatives (technical research, training preparation and/or delivery, special project management, documentation improvements, technical report preparation etc.), • Any other tasks as may be reasonably required.

Job Title: Senior RF EngineerLocation: North LondonSalary: Competitive Salary + BenefitsSchedule: Monday to FridayThe CompanyOur client, a highly respected engineering and technology business operating within advanced surveillance and radar systems, is seeking an experienced Senior RF Engineer to join their growing team in North London.This is an excellent opportunity for an RF / Microwave specialist to play a key role in the development of cutting-edge products within a technically advanced and highly regulated environment. You will take ownership of meaningful engineering work packages, supporting the full product lifecycle from concept and design through to testing, manufacture, and continuous improvement.The OpportunityAs Senior RF Engineer, you will be responsible for the design, development, and support of RF / Microwave modules and antenna systems, whilst acting as a technical specialist across the wider engineering function.You will work closely with internal engineering teams, manufacturing, supply chain, quality, and external suppliers to ensure products are delivered to the highest technical and commercial standards.Key Responsibilities· Lead RF and antenna development projects, both internally and through external partners· Design, develop, and improve RF / Microwave modules and antenna systems· Support product enhancements, redesigns, and obsolescence management activity· Produce and manage technical requirements, specifications, verification, and validation plans· Provide technical support to manufacturing, quality, supply chain, suppliers, and customers· Support production test systems and resolve technical issues during manufacture· Conduct root cause analysis, fault finding, and performance trend analysis· Ensure engineering procedures, quality standards, and documentation are maintained· Generate cost estimates, schedules, and manage small technical work packages· Contribute technical expertise across wider engineering and systems projects.What We’re Looking ForEssential Experience· Strong background in RF / Microwave engineering.· PCB design at microwave frequencies.· RF component knowledge including amplifiers, filters, mixers, PLLs, LNAs, circulators, limiters etc· RF system design and cascade analysis· Hands-on experience using RF test equipment such as:· Spectrum Analysers· Vector Network Analysers· Strong understanding of antenna theory, design, and testing, including array antennas.· Experience with design for manufacture and design for test principles.· Exposure to manufacturing environments such as SMT production.· Strong communication skills and collaborative working style.Desirable Experience· Altium PCB design software· RF modelling / simulation tools· Radar, defence, communications, or related sectors· Digital electronics or power supply knowledge· Systems engineering / requirements management· Test automation using MATLAB or Python· EMC knowledge· Regulatory standards such as FCC / ETSI / ITUWhy Apply?This is an excellent opportunity to be involved in the development of genuinely advanced, market-leading technology products within a highly respected engineering environment. You will be joining a well-established and growing business with a strong reputation for innovation and technical excellence.The role offers the chance to make a real impact on product development, continuous improvement, and future innovation, whilst gaining broad exposure across research and development, manufacturing, testing, and customer-facing engineering activity.For the right individual, there are strong long-term career prospects within a stable organisation that values technical expertise and professional growth.If this opportunity is of interest, please click apply today and a member of our team will be in touch soon your discuss your application further.All applications will be managed in the strictest confidence.

Senior Java Software Engineer - Java Developer, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Hybrid - 3 days a week in the office - Notting Hill) Description for the Senior Java Software Engineer role:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Java Software engineer will join a very bright, talented team of engineers with the guidance of technologists who have help build up some of the best known technology companies today. You will have a great opportunity to work with a variety of languages, frameworks and tools. Applicants will need a background in Java with a focus on Server side technologies. Core skills for the Senior Java Software Engineer: • 5yrs+ in a commercial Development role, • Solid experience of Java, • Good knowledge of Cloud Technologies (AWS) and Microservices, • Strong database knowledge (SQL and NoSQL), • Degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. Other benefits include:- Free breakfast and coffee, drinks and snacks all day/every day. Food ordered for a weekly team lunch. Regular team events (dinner, bowling, karting, poker nights, board-games etc.) The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Senior Java Software Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence +++++Applicants must have the right to work in the UK, no sponsorship is offered for this role++++++++

• We are accepting applications from varying seniority levels, from Graduate to Principal Engineer, and will adjust terms accordingly. About Amodo Amodo is a hardware engineering company building the 21st century's most important technologies. Our team of mechanical, electronic, firmware, and software engineers are trusted by world-leading startups, universities, governments and philanthropists to solve pressing technical challenges. See who they are on our website - including MIT, Cambridge, Oxford, Imperial, ARIA and Rand Corp. We are selective in the projects we take on and proactive in seeking out where our exceptional engineering teams can make the most impact. We believe in differential technology development: deliberately accelerating safety-enhancing technologies to ensure human flourishing. Not every technology is inevitable – rather, the market fails to incentivise key domains. We work in these areas. What do we do? At Amodo you will work with a world class team to create some of the most important technologies of our time. We focus on high speed development and real world impact, making sure we’re continually delivering tangible, concrete progress across the board. You will see your designs manufactured and distributed globally, your research inform policy, and you will support multi-million pound projects. We’re currently focused on four key fields: AI safety, biosecurity, humane tech, and accelerating science (developing the hardware tools that scientific breakthroughs require, but don't yet exist). In addition to client work, we want to bring our inventions into the world as spin-out companies, open-source projects, and products. We're actively hiring people to take charge of making this happen. New invention & new research - We design and build new products, equipment, and tools. Invention and rapid iteration are core to our DNA. We use these new inventions and our experience to perform new research and push boundaries. More products than powerpoints - Common failure modes of today’s consultancies include risk aversion, theatre for clients, and misrepresentation of what is important in projects. We reject this approach. We’re here to do truth-seeking, progress-optimising engineering, not to make slide decks. Work that matters - Unlike many consultancies we also get involved at the pre-product stage. Our experience in industry and biotech puts us in the position to run feasibility studies for new and existing companies. This research-heavy work can include literature reviews, feasibility modelling and market research. A bit on our culture and what it would look like to work here: • Our values: Truth-seeking, excellent, enthusiastic, kind, humble, and always learning, • Our approach: We think before diving in, iterate fast, and focus on the highest-impact 80/20 work. We favour rapid experimentation, quick feedback loops, and sprinting to "something that works" rather than over-planning., • Feedback culture: We practice radical candor, which means being clear and direct while staying kind, and welcoming feedback at every level, • No "not my job"-ism: If we see something wrong, we fix it. If your part of a project is going great and another is struggling, don't settle for polishing a chunk of a struggling ship, • Socials: Table tennis every lunch, personal project evenings, pub trips, trail running club, and more, • Office: Spacious, modern space in central Sheffield, with parking and bike storage. In-house workshop and equipment for our mechanical and electrical work., • Project structure: You will generally be on 1 main project at a time, whilst supporting on 1-2 smaller projects. Team sizes vary from 2-10+ engineers, where most are ~4. Durations largely are within the 2 - 8 months range. We value drive, culture fit, and a track-record of engineering excellence and above all else, but the below competencies, interests, and attributes are extremely desirable: • Strong background in mechanical design - concepts, calcs, and CAD, • Practical experience with GD&T and fully defined engineering drawings, • Experience with design for manufacture and manufacturing systems, • Familiarity with electrical and electronics, • Programming competence (preferably python, cpp), • Expertise in design for specific manufacturing processes, particularly Injection moulding or precision machining. Benefits • Free lunch every day, • Flexible hybrid working, • Flexible working hours, • 35 days holiday (including bank holidays), • We can pay your professional registration and institution fees, • Relocation assistance may be negotiated, • 15 minute technical screening interview, • 1 hour technical interview, • 1.5 hour in-person interview, • Offer

Lead Platform Engineer Building the platforms that make AI and machine learning work in production We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production. This is a senior, hands-on technical leadership role, not a people-management position. You'll lead through technical depth, judgement, and delivery, building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale. The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments. What you'll be doing You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. You will: • Provide technical leadership across platform, DevOps, and MLOps activities, • Design, build, and operate a Kubernetes-based MLOps platform supporting the full model lifecycle, • Implement andrunMLOps tooling that enables teams to:, • Experiment with models and notebooks, • Package, version, and deploy models, • Run scalable inference and LLM-based workloads, • Build and operate model serving and inference platforms within Kubernetes environments, • Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows, • Own platform operability, reliability, security, and supportability in production, • Troubleshoot complex issues across Kubernetes, platform services, and MLOps layers, • Contribute to architectural decisions while staying hands-on with delivery Essential experience: • Strong background as a Senior or Lead Platform Engineer / DevOps Engineer, • Deep, hands-on experience building and operating Kubernetes-based platforms, • Strong practical experience with Helm and Infrastructure as Code (e.g. Terraform), • Proven experience extending Kubernetes with higher-level platforms and services, not treating it as the finished product, • Strong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenance Experience in areas such as: • Building or operating MLOps platforms using tools like Kubeflow or similar frameworks, • Running model serving and inference platforms (e.g. KServe, vLLM, or equivalent), • Supporting LLM-based workloads, including optimisation and serving considerations, • Providing notebook-based environments such as JupyterHub in secure platforms, • Exposure to emerging tooling such as InstructLab, Trustworthy / Responsible AI tooling, or comparable solutionsDesirable experience, • Building internal platforms specifically for data science and ML teams, • Operating AI-enabled or data-driven systems in production, • Experience in regulated, security-conscious, or high-assurance environments Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

We are selective in the projects we take on and proactive in seeking out where our exceptional engineering teams can make the most impact. We believe in differential technology development: deliberately accelerating safety-enhancing technologies to ensure human flourishing. Not every technology is inevitable – rather, the market fails to incentivise key domains. We work in these areas. What do we do? At Amodo you will work with a world class team to create some of the most important technologies of our time. We focus on high speed development and real world impact, making sure we’re continually delivering tangible, concrete progress across the board. You will see your designs manufactured and distributed globally, your research inform policy, and you will support multi-million pound projects. We’re currently focused on four key fields: AI safety, biosecurity, humane tech, and accelerating science (developing the hardware tools that scientific breakthroughs require, but don't yet exist). In addition to client work, we want to bring our inventions into the world as spin-out companies, open-source projects, and products. We're actively hiring people to take charge of making this happen. New invention & new research - We design and build new products, equipment, and tools. Invention and rapid iteration are core to our DNA. We use these new inventions and our experience to perform new research and push boundaries. More products than powerpoints - Common failure modes of today’s consultancies include risk aversion, theatre for clients, and misrepresentation of what is important in projects. We reject this approach. We’re here to do truth-seeking, progress-optimising engineering, not to make slide decks. Work that matters - Unlike many consultancies we also get involved at the pre-product stage. Our experience in industry and biotech puts us in the position to run feasibility studies for new and existing companies. This research-heavy work can include literature reviews, feasibility modelling and market research. A bit on our culture and what it would look like to work here: • Our values: Truth-seeking, excellent, enthusiastic, kind, humble, and always learning, • Our approach: We think before diving in, iterate fast, and focus on the highest-impact 80/20 work. We favour rapid experimentation, quick feedback loops, and sprinting to "something that works" rather than over-planning., • Feedback culture: We practice radical candor, which means being clear and direct while staying kind, and welcoming feedback at every level, • No "not my job"-ism: If we see something wrong, we fix it. If your part of a project is going great and another is struggling, don't settle for polishing a chunk of a struggling ship, • Socials: Table tennis every lunch, personal project evenings, pub trips, trail running club, and more, • Office: Spacious, modern space in central Sheffield, with parking and bike storage. In-house workshop and equipment for our mechanical and electrical work., • Project structure: You will generally be on 1 main project at a time, whilst supporting on 1-2 smaller projects. Team sizes vary from 2-10+ engineers, where most are ~4. Durations largely are within the 2 - 8 months range., • Strong background in electronic design - component selection, schematic design, PCB layout, and component procurement, • Experience with hand THT and SMD PCB assembly and modifications, • Producing embedded firmware (C/C++), • Familiarity with mechanical design, • SPICE and/or RF simulation experience, • Experience balancing functional electronic design requirements with additional constraints (such as thermal, mechanical, and power requirements etc.), • Free lunch every day, • Flexible hybrid working, • Flexible working hours, • 35 days holiday (including bank holidays), • We can pay your professional registration and institution fees, • Relocation assistance may be negotiated, • 15 minute technical screening interview, • 1 hour technical interview, • 1.5 hour in-person interview, • Offer

Applied Research Engineer London (Hybrid) We're building a foundational intelligence platform that helps organisations turn fragmented information into durable institutional knowledge. Enabling better reasoning, faster decisions, and preserved context over time. Our initial focus is private capital, where information is complex and decisions are high stakes. Longer term, we're building core intelligence infrastructure for any information-led industry. This is not a chat interface on top of documents or workflow automation. We're building the intelligence layer underneath. The Role As an Applied Research Engineer, you'll own the core knowledge and retrieval infrastructure that everything else builds on. You'll work at the intersection of knowledge representation, information retrieval, and applied NLP, translating research ideas into production systems that reason over real-world, proprietary data. This is a high-ownership role in a small, deeply technical team. What You'll Work On • Designing knowledge models and ontologies that preserve semantic meaning and relationships, • Building hybrid retrieval systems (graph, structured, sparse, dense) with contextual understanding and re-ranking, • Developing information extraction pipelines for noisy enterprise documents, • Managing knowledge quality and evolution (provenance, conflict resolution, schema changes), • Turning research into robust, production grade infrastructure What We're Looking For We're especially interested in candidates with experience in one or more of the following areas: • Graph databases and graph based systems (ideally Neo4j or similar), • Information retrieval systems, including search, ranking and semantic retrieval, • A strong background in IR, NLP, knowledge representation, or a related field, • Experience shipping real systems, not just prototypes or research code, • Careful thinking around how information should be structured to support reasoning, • Comfort working from first principles in an early-stage environment, • A high sense of ownership and responsibility for core systems This Role Is a Good Fit If You… • Care about the architecture of knowledge, not just model performance, • Enjoy building systems that genuinely understand context, not just embeddings, • Want to influence the technical direction of a core platform, • Value intellectual honesty and pragmatic decision making

Senior Mapping Engineer - SLAM / LiDAR - London With continued investment into mapping and autonomy capabilities, they are now looking for a senior specialist to help define and lead the next phase of development. The benefits You will collaborate closely with perception and localisation teams to ensure mapping outputs are accurate, scalable and production-ready. Alongside this, you will shape tooling, standards and long-term technical direction. Key responsibilities • MSc or PhD in Robotics, Computer Vision, Computer Science or similar * 4-5+ years' commercial experience in robotics or autonomous mapping * Strong LiDAR and point cloud processing experience (PCL, Open3D or custom C++ pipelines) * Experience with vision-based mapping (stereo/mono reconstruction, visual SLAM) * Proven background in multi-sensor fusion * Experience building and deploying large-scale 3D maps in real-world environments * Strong C++ and ROS2 experience * Solid understanding of kinematics, estimation, optimisation and geometry (TF2) Desirable: semantic mapping, distributed systems, DDS middleware, ML-based scene understanding. This role would suit a senior engineer who enjoys solving complex spatial problems and wants to play a key role in shaping how high-precision maps are created and used within industrial automation systems. To be considered Please either apply through this advert or email me directly via . For further information please call me on / . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. Key skills Robotics, SLAM, LiDAR, Computer Vision, ROS2, C++, Multi-Sensor Fusion, 3D Mapping, Industrial Automation, Software Engineering

Assembly Technician / Production Engineer We are recruiting for a hands-on Assembly Technician / Production Operative to join a growing engineering and manufacturing team. This is an excellent opportunity for individuals with practical mechanical or production experience who enjoy working in a structured, quality-focused environment. The role involves assembling technical equipment and components using digital work instructions, hand tools and power tools, while working closely with team leaders and engineering teams to ensure high build standards. This position would suit candidates from production, assembly, mechanical, automotive, engineering or manufacturing backgrounds, as well as practical engineering graduates looking to build hands-on experience. You will be based near Epsom for this contract and it has been assessed as OUTSIDE IR35. Key Responsibilities • Assemble products and components in line with digital work instructions and quality standards, • Prepare and organise parts and materials for production builds, • Use hand tools and power tools safely and correctly, including torque tools where required, • Route and secure wiring and mechanical assemblies neatly and accurately, • Identify and report any build or assembly issues to supervisors or engineers, • Follow health & safety procedures and maintain a clean working environment, • Support continuous improvement initiatives across production processes, • Work independently on assigned tasks while contributing positively to the wider teamSkills & Experience, • Previous experience within a production, assembly, mechanical or manufacturing environment, • Confident using a variety of hand tools and power tools, • Ability to follow written or digital assembly instructions accurately, • Good attention to detail and a quality-focused approach, • Strong practical and problem-solving skills, • Comfortable working in a structured, process-driven environment, • Experience within automotive, aerospace, commercial vehicle, prototype or technical assembly environments, • Electrical or wiring assembly experience, • Experience working in research & development or low-volume production settings, • Forklift licence This is a great opportunity to join a supportive and growing technical environment with opportunities to further develop practical engineering and production skills.

Python Developer - Insurance Analytics Location - London with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week). LCP is an award-winning actuarial and analytics consultancy providing market-leading capabilities and advice across pensions and financial services, energy, health, and analytics. We use powerful analytics fused with human expertise to shape a more positive future. We have an exciting opportunity to join our Insurance Analytics team as a Python Developer. You will play a leading role in the continued development of InsurSight, our award-winning SaaS platform. InsurSight was launched in April 2020 and is currently used to assess over £200bn of non-life insurance business. We are expanding the team to help us support our expanding client base whilst delivering our exciting plans to develop the platform further. You’ll work within our backend team to help shape the direction of how we use Python within InsurSight, focussing on feature development, performance, maintainability, and tighter integration of our C# and Python backend codebases. You will also support and mentor less experienced developers, conduct code reviews, and take ownership of key technical challenges - particularly where large datasets and performance bottlenecks are involved. Our team consists of: • 1 Product manager, • 4 C# developers, • 2 Python developers, • 1 Actuarial data scientist, • 2 Front end developers, • 1 DevOps and site reliability engineer Key Responsibilities: • Provide Python development expertise on new InsurSight features, ensuring performance, scalability and maintainability, • Help with further integration between our C# and Python codebases, rewriting or restructuring code where needed to reduce inefficiencies and improve cohesion, • Optimise performance of complex data and analytics workflows, including calculations on larger datasets (e.g. on 4GB+ datasets), • Review and provide feedback on code written by other developers, support mentoring and skill development across the team, • Champion best practices in software engineering including testing, version control, CI/CD, and OOP, • Collaborate with actuaries, analysts and data scientists to deliver technically robust, industry-relevant features, • Research and prototype new technologies to support innovation and continuous improvement, • Strong Python development experience, with a track record of writing production-grade, maintainable code, • Experience working with large datasets and performance-critical workloads, • Familiarity with Azure PaaS/SaaS tools (e.g. Azure Functions, Batch, Blob/Table/Queue Storage), and CosmosDB, • Comfort with software-engineering best practices: automated testing, version control, CI/CD, OOP, • Proactive, problem-solving mindset with a focus on performance and user experience, • Exposure to actuarial or non-life insurance analytics, or an interest in domain-rich environment What’s in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: • Hybrid working (see top of the advert for details), • Professional study support (where applicable), • Life assurance, • Income protection, • 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday, • Private medical insurance, • Discounted gym memberships, critical illness and dental insurance through our flexible benefits, • Eye care vouchers, • Cycle to work scheme, • Competitive pension scheme, • Discretionary bonus scheme, • High street discounts We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre-interview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - [email protected] to discuss how we can support you with your application. Recruitment agencies LCP operates a Preferred Supplier List (PSL) for recruitment agencies which is reviewed annually. We do not accept unsolicited CVs or candidate profiles from agencies who are not part of our current PSL. LCP only pay agency fees where we have a signed agreement in place, and the agency has been instructed by a member of our recruitment team to supply CVs via the Applicant Tracking System (ATS) for a legitimate, open vacancy. If this process is not adhered to, LCP reserve the ri

Principal Vulnerability Engineer | High-Growth Cybersecurity Scale-Up | Fully Remote (UK) • Remote – UK Based, • Up to £110,000 + benefits Join a research-driven, venture-backed cybersecurity scale-up trusted by Fortune 500 enterprises and critical infrastructure providers. Recognised by Gartner, $29M funded, and scaling fast worldwide. As a Principal Vulnerability Engineer, you’ll own the full vulnerability lifecycle – from discovery, through detection, to deployment – building production-grade tooling and pioneering LLM-powered offensive security workflows. What you’ll be doing: • Leading deep research across 0-days and n-days, with patch diffing across source-available and binary-only targets, • Designing tooling for automated vulnerability discovery, exploit validation, and detection signature generation, • Architecting production-grade, LLM-powered research workflows, • 5+ years of mixed vulnerability research and software engineering experience, • A demonstrable track record of original 0-day discovery – public advisories, CVEs, or equivalent, • Deep n-day research and patch diffing chops, • Confidence across both web and binary vulnerability classes, • Production-grade software engineering experience, ideally in Python, • Mastery of Burp Suite, Ghidra/IDA, debuggers, fuzzers, • Hands-on experience using LLMs in research workflows

Offensive Security (Mobile) | £65-75k DOE | Hybrid Working (UK) We're working with an innovative UK technology company operating at the forefront of digital identity and biometric security. As their security function continues to grow, they're looking to appoint an experienced Offensive Security Engineer with a strong focus on mobile application security. The Opportunity: You'll take ownership of sophisticated red team and mobile security assessments across iOS and Android environments, simulating real-world attack scenarios to identify vulnerabilities before they can be exploited. The role combines hands-on offensive testing, exploit development, research into emerging threats, and close collaboration with engineering teams to ensure vulnerabilities are remediated effectively. This position would suit someone who enjoys reverse engineering, breaking mobile protections, and staying ahead of evolving threats in areas such as biometrics, authentication, and device compromise. Key Responsibilities: • Conduct advanced mobile application penetration testing across iOS and Android, • Perform reverse engineering, runtime manipulation, and instrumentation attacks, • Simulate realistic adversarial scenarios including:, • Rooted and jailbroken devices, • Emulator and Frida-based attacks, • Certificate pinning bypass, • Session manipulation and API abuse, • Biometric spoofing and presentation attacks, • Identify weaknesses in authentication, cryptographic controls, and mobile architectures, • Develop proof-of-concept exploits and custom tooling, • Produce high-quality reports with practical remediation guidance, • Work closely with software engineers and product teams to validate fixes, • Research emerging mobile attack techniques and adversarial methods, • Support improvements to security monitoring and detection capabilities, • Mentor development teams on secure mobile development practices About You: You will have strong experience in offensive security, penetration testing, or mobile security research, with a genuine passion for understanding how complex systems can be attacked and improved. Essential Experience: • 4+ years in Red Teaming, Penetration Testing, or Mobile Security, • Deep expertise in Android and/or iOS application security, • Strong experience with tools such as:, • Frida, • Ghidra, • Hopper, • IDA Pro, • Burp Suite, • Experience analysing APK and IPA binaries, • Ability to bypass certificate pinning, anti-debugging, and anti-tamper controls, • Strong understanding of:, • Android and iOS security models, • Secure storage (Keychain / Keystore), • Cryptographic implementations, • OAuth and authentication protocols, • Scripting and automation skills to build custom testing tools, • Excellent communication skills and the ability to explain findings clearly Desirable: • Experience with biometric systems and identity verification technologies, • Security research background, • Contributions to open-source tooling or vulnerability research, • Exposure to threat modelling and secure architecture reviews If this sounds like you, apply now or reach out directly. Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Engineer 3-D Modelling Knowledge, Skills and Abilities Required-Bachelor's degree in manufacturing, design or mechanical engineering related discipline.-Ability to communicate at all levels within an organisation and external stakeholders.-Excellent communication skills both written and verbal.-Computer literate with experience in Microsoft Office.-Proficient at 3D modelling (ideally SolidWorks).-Knowledge in Prototyping (sheet metal, 3-D printing, CNC etc).-Passionate in research and development.-Ability to comprehend and assist in the creation of engineering documentations.-Must be able to work unsupervised, be self-sufficient and able to prioritise workload.-Must be able to work alone and part of a team.Advantageous but not essential-Skilled and experienced in manufacturing and machining.-Involved in successful engineering projects (In academic and/or industry environment).-Knowledge in electronics and programming of simple electromechanical products.-Minimum 1-2 years industry experience.-A background in the railway industry.General*Any other ad-hoc duties for the needs of the business when and where necessary.*To assist where required with other services.*To ensure continued compliance with company quality, safety and environmental policies while undertaking all activities.Benefits:*Company Pension autoenrollment after first 3 months.*Company Pension based on salary sacrifice.*Annual bonus based on company performance (not guaranteed).*Annual Salary Review (not guaranteed).*33 days paid leave (including bank holidays). For more details on this role, please speak to Michelle Ings,

You will like Working as a Lead Structural Engineer based in Watford, with a leading innovation and research organisation dedicated to making buildings safer and more sustainable. Join a team committed to pushing the boundaries of structural engineering excellence, sustainability, and social impact. This role offers a unique blend of strategic influence and technical leadership within a state-of-the-art environment, supporting groundbreaking projects and industry standards. Enjoy the fantastic opportunity to grow your career while contributing to the future of safe, sustainable building practices. You will like The Lead Structural Engineer role itself where you will work at science & data hub for leeading industry accredition body. More specifically: • Provide technical leadership for complex structural engineering activities within a dedicated team., • Oversee and deliver high-quality engineering, testing, and assurance services aligned with industry standards., • Manage multidisciplinary project teams including engineers, technicians, and laboratory staff for seamless project delivery., • Develop and interpret test regimes based on structural design principles, including static and dynamic behaviours., • Ensure compliance with BS and EN standards, advancing industry best practice., • Contribute to business growth through client engagement, proposal development, and industry representation., • Support inspection, assessment, and reporting activities in line with UK construction methods and fire performance standards., • Chartered status in Structural Engineering., • Proven experience leading complex structural projects and technical teams., • Strong knowledge of BS and EN standards and their application in design and testing., • Expertise in static and dynamic structural behaviour and engineering mechanics., • Experience with structural fire design and assessment per industry standards., • Excellent communication skills, capable of producing high-quality proposals, reports, and inspection documents., • Proficiency in engineering tools such as AutoCAD, FEA modelling, and Microsoft Office suite., • Knowledge of UK construction methods, materials, and contemporary industry practices., • A highly competitive salary, reviewed annually to reflect experience and performance., • Comprehensive benefits package, including pension scheme with employer contributions, life assurance, and health cashback schemes., • Enhanced maternity and family leave benefits., • Onsite facilities including restaurants, nursery, free parking, and EV charging points., • Access to ongoing learning and development through our dedicated training platform and professional membership reimbursement. UK_MS

AI-Augmented Cyber Security Engineer We are seeking an experienced Cyber Security Engineer to join a growing security function within a confidential technology-focused organisation.This role is designed for an engineer who thrives at the intersection of cyber security, data, and emerging AI technologies. You will play a central role in designing, implementing, and continuously improving security capabilities that are increasingly enhanced by AI-driven detection, automation, and intelligent decision support.The position combines deep technical security engineering with forward-looking exploration of AI-enabled security systems, detection engineering, and autonomous or semi-autonomous security workflows. You will help shape how AI is used to improve security visibility, accelerate investigation, and continuously adapt to evolving threats.Working across multiple teams, you will be responsible for building scalable, intelligent, and adaptive security systems that evolve alongside both cyber threats and AI-enabled attack techniques.Core Skills • Strong foundation in modern cyber security engineering and detection engineering principles., • Experience with security monitoring platforms, SIEM systems, and alerting/detection pipelines., • Strong understanding of identity and access management, endpoint security, logging, network security, and vulnerability management., • Knowledge of security architecture principles and secure-by-design methodologies., • Experience building automation and security workflows using Python, PowerShell, or similar tooling., • Familiarity with AI-assisted security tools, machine learning concepts for detection, or data-driven security analytics., • Understanding of how AI can be applied to threat detection, anomaly detection, investigation support, and security operations automation., • Awareness of emerging AI-driven attack techniques, including adversarial AI and automated exploitation methods., • Familiarity with security frameworks and standards such as NIST, CIS, ISO 27001, and GDPR., • Strong analytical thinking with a structured, risk-based approach., • Excellent communication skills with the ability to translate technical and AI-driven insights into actionable decisions.Responsibilities, • Design, implement, and continuously improve AI-enhanced security controls across enterprise environments., • Design, implement, and continuously improve detection engineering pipelines, leveraging both traditional and AI-assisted approaches., • Build and evolve intelligent monitoring systems that combine rule-based detection with behavioural and AI-driven analytics., • Develop automation and AI-assisted workflows to improve alert triage, investigation speed, and operational efficiency., • Work closely with engineering and security teams to integrate AI-enabled security capabilities into operational processes., • Support incident investigations using advanced analytics, AI-assisted tooling, and structured threat analysis techniques., • Conduct threat modelling and security architecture reviews with a focus on emerging AI-enabled risks and system complexity., • Identify vulnerabilities and continuously improve remediation strategies using data-driven insights., • Evaluate emerging cyber threats, including AI-generated attacks, autonomous malware, and adversarial machine learning techniques., • Research, prototype, and implement AI-driven security capabilities to improve detection, response, and resilience., • Design and maintain security standards, engineering patterns, and documentation for AI-enabled security systems., • Support compliance and governance activities through automated evidence generation and control monitoring., • Contribute to the long-term strategy for AI-driven security transformation and intelligent security operations.Experience & Qualifications, • Minimum 5+ years of experience in cyber security engineering, detection engineering, security operations, or related technical security disciplines., • Proven experience designing, implementing, and continuously improving security controls in complex environments., • Bachelor's degree in Cyber Security, Computer Science, Information Technology, or equivalent practical experience., • Familiarity with AI/ML concepts applied to security use cases is highly desirable., • Experience working with or building automation, analytics, or data-driven security solutions is strongly preferred., • Relevant certifications are beneficial, such as CISSP, CCSP, GSEC, GIAC certifications, Security+, or equivalent., • Experience in regulated or high-assurance environments is advantageous., • Demonstrated curiosity and interest in AI, intelligent automation, and next-generation security technologies.The TeamThe Cyber Security team is responsible for protecting systems, digital assets, users, and data while enabling the organisation to operate securely at scale and speed.The team focuses on designing, implementing, and continuously improving intelligent security capabilities that integrate automation and AI to enhance visibility, detection quality, and response efficiency.Security is treated as an important and evolving system—continuously evolving through data, automation, and AI-assisted decision-making—rather than a static set of controls.We are a collaborative and forward-thinking organisation that values technical excellence, curiosity, and innovation.We believe the strongest security outcomes are achieved by combining human expertise with intelligent systems, automation, and AI-driven insights.What you'll be doing, • Designing and implementing AI-enhanced security and detection capabilities, • Continuously improving detection quality through data, automation, and machine intelligence, • Reducing manual effort through intelligent workflows and AI-assisted operations, • Strengthening visibility across complex environments using modern analytics approaches, • Building a security function that evolves alongside emerging AI-driven threats and technologiesInterested? Please apply now!Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.

Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the Technology industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. Client Details Machine Learning Engineer - London This opportunity is with a medium-sized software development organisation. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. • Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection., • Build and maintain training and inference pipelines using PyTorch, and related ML frameworks, • Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows., • Run structured experiments, evaluate model performance, and iterate based on measurable results, • Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring., • Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability, • Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools., • Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources., • Evaluate and integrate large language models into production systems where they add clear value., • Collaborate with product and business teams to translate requirements into practical ML solutions. Profile Machine Learning Engineer - London A successful Machine Learning Engineer should have: • Strong foundation in machine learning, deep learning, and optimisation, • Hands-on experience training, evaluating, and deploying ML models in real-world systems, • Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem, • Experience with audio or speech models and frameworks., • Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar)., • Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred), • Practical experience designing agentic AI systems and integrating models with external services, • Comfortable owning the full ML lifecycle, from data preparation to production deployment Machine Learning Engineer - London • Competitive salary ranging from £75,000 to £95,000 per annum., • Comprehensive benefits package to support your well-being., • Opportunity to work in a leading organisation within the insurance industry., • Collaborative and innovative work environment in London.

Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment. This is a senior, hands-on practitioner role, not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility. The organisation is outcome-led rather than technology-led. Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: • Lead end-to-end machine learning delivery, from problem definition through experimentation, evaluation, and iteration, • Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results, • Design and run structured experiments to assess model behaviour, performance, and user impact, • Work with real, imperfect operational data, not just curated or static datasets, • Collect, assess, and transform data to support model evaluation and continuous improvement, • Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose, • Integrate machine learning components into wider systems, considering performance, reliability, and operational constraints, • Communicate complex technical ideas clearly to non-technical stakeholders, enabling informed decision-making, • Engage confidently in deep technical design and review discussions with peers, • Operate effectively within a strong technical assurance and review culture Essential experience: • Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent, • Strong grounding in applied mathematics, statistics, and scientific practice, • Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation, • Excellent Python skills for building, evaluating, and iterating on ML solutions, • Experience working with real-world, imperfect data from operational systems, • Strong software engineering practices, including readable, maintainable, and well-tested code, • Experience integrating ML components into broader production systems, • Clear understanding of data ethics, privacy, and responsible use of data, • Strong communication skills across technical and non-technical audiences, • Python for experimentation, modelling, and evaluation, • Weights & Biases (or equivalent) for experiment tracking, • AWS, including services such as SageMaker and Bedrock, • Working in secure, safety-critical, or heavily regulated environments, • Background in sectors such as energy, oil & gas, defence, or public sector, • Experience within formal technical assurance or governance processes, • Collaboration with external suppliers, partners, or research organisations Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Our client is in the Financial Sector and is looking to grow their team with a new AI Engineer. The role is hybrid with 2 days in Central London, 3 days at home. This is a brand new role in the AI team of 20 to work on new projects and products, using data to make smarter, better decisions. Client Details Our client is in the Financial Sector and is looking to grow their team with a new AI Engineer. The role is hybrid with 2 days in Central London, 3 days at home. This is a brand new role in the AI team of 20 to work on new projects and products, using data to make smarter, better decisions. Description • Design, develop, and implement AI-driven solutions to address complex business challenges., • Collaborate with cross-functional teams to integrate AI technologies into existing systems., • Research and apply advanced machine learning algorithms and techniques to improve business processes., • Analyse large datasets to derive actionable insights and drive data-driven decision-making., • Develop and maintain scalable AI models using industry best practices., • Monitor the performance of AI systems and troubleshoot issues as they arise., • Provide technical expertise and guidance to colleagues and stakeholders. Must haves: • Software Engineering experience - ideally C# or Python, • GenAI, • LLM APIs, • Experience designing, testing and deploying AI/ML solutions, • Chat Bots / Agents, • FastAPI, • Microsoft Agent Framework, • LangChain, • Vector database, • Car allowance of 5k, • Private medical, • 25 days + BHS, • Option to buy 10 more holidays, • Matched pension, • Life assurance

Joining Arup Arup is an independent firm, owned in trust by our employees. Arup’s purpose, shared values and collaborative approach have set us apart for 80 years, guiding how we shape a better world. This may be as a direct output of the project or where we can influence our client’s direction in a beneficial way. Arup’s Science, Industry, Healthcare and Data Centre Team is a global network of Architects, Engineers and Specialist Consultants working with the largest and most innovative businesses across each sector. Our clients include developers; retail and wholesale colocation providers and the major hyperscale cloud services providers, pharmaceutical companies, universities and research institutions. Our London team delivers SIT projects globally including HV substation design, placing innovation, sustainability, decarbonisation and excellence at the heart of our designs. At Arup, you will belong to an extraordinary collective – in which we encourage individuality to thrive. Our strength comes from how we respect, share and connect our diverse experiences, perspectives and ideas. The Opportunity As part of this exciting opportunity, we are seeking an experienced Chartered Electrical Engineer who will join the leadership of our team as an Associate. You will be guiding and coordinating the design of various projects, from inception through to construction, providing technical guidance and design management. This will include collaborating with colleagues from all over Arup in the delivery of multi-disciplinary designs. With experience in MEP design, you will have the self-assurance to lead your engineering discipline, as well as the ability to take a leading role on projects coordinating the overall Arup project team. Mentoring and development of junior colleagues as part of the electrical discipline leadership will form a core responsibility. You will contribute to recruitment, appraisals and the performance, development, morale, and motivation of members within the team. You will have the opportunity to act as Project Manager, responsible for the resourcing, commercial delivery and success of the project. Contribute to winning work by taking a role in the preparation and presentation of bids, and liaising directly with clients. You will have the opportunity do socially useful work that has meaning – to Arup, to your career, to our members and to the clients and communities we serve. Is this role right for you? We’re looking for a candidate who can demonstrate: • You are an enthusiastic engineer who enjoys working collaboratively in multi-professional design teams and taking responsibility for projects from inception to completion to achieve outstanding results across some or all the following sectors: Science, Industry, Healthcare and Data Centres., • You are a Chartered Engineer with experience in the field of Electrical Engineering and have a broad range experience in systems and installations, ideally including HV substation design, • Actively support the performance, work and development of others, providing guidance, training, and motivational and directional feedback., • You should have commercial awareness, client-facing skills and be able to represent Arup externally. Not ready to apply just yet or have some questions? Contact Aslam Hussein at - Please note, to ensure we remain GDPR compliant do not send your CV directly to us via this email. What We Offer you At Arup, we care about each member’s success, so we can grow together. Guided by our values, we provide an attractive total reward package that recognises the contribution of each of our members to our shared success. As well as competitive, fair and equitable pay, we offer a career in which all of our members can belong, grow and thrive through benefits that support health and wellbeing, a wide range of learning opportunities and many possibilities to have an impact through the work they do. We are owned in trust on behalf of our members, giving us the freedom, with personal responsibility, to set our own direction and choose work that aligns with our purpose and adds to Arup’s legacy. Our members collaborate on ambitious projects to deliver remarkable outcomes for our clients and communities. Profit Share is a key part of our reward, enabling members to share in the results of our collective efforts. We also provide Private medical insurance, Life assurance, Accident insurance and Income protection cover. In addition, you’ll have access to flexible benefits to help you look after all aspects of your wellbeing and give you the freedom and flexibility to find the best solutions for you, your family, and your individual needs. Different People, Shared Values Arup is an equal opportunity employer that actively promotes and nurtures a diverse and inclusive workforce. We welcome applications from individuals of all backgrounds, regardless of age (within legal limits), gender identity or expression, marital status, disability, neurotype or mental health, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. We are an open environment that embraces diverse experiences, perspectives, and ideas – this drives our excellence. Guided by our values and alignment with the UN Sustainable Development Goals, we create and contribute to equitable spaces and systems, while cultivating a sense of belonging for all. Our internal employee networks support our inclusive culture: from race, ethnicity and cross-cultural working to gender equity and LGBTQ+ and disability inclusion – we aim to create a space for you to express yourself and make a positive difference. Discover more about life at Arup at . We are committed to making our recruitment process and workplaces accessible to all candidates. Please contact Aslam Hussein at to let us know if you need any assistance or reasonable adjustments throughout your application or interview process, and/or to perform the essential functions of the role. We will do everything we can to support you. Our Application Process To understand what to expect next, please visit Stay safe online – Arup will never ask for your bank details as part of our recruitment process. Recruitment Agencies - We have a Preferred Supplier List of trusted partners to assist us when required and do not acknowledge any speculative CVs or unsolicited candidate introductions from agencies not on the list. Closing Date – 13th of May 2026 - Please note we may close the role earlier than the advertised date should we receive many applications, so please ensure you apply early. #LI-DNI

About us CheMastery is automating how research and manufacture are carried out. The chemical industry is a large and ever-growing market however, the work is still carried out mostly manually and chemical processes remained unchanged over the past 160 years. The lack of standardisation and digitisation created many problems for this fundamental industry, including reproducibility and cost/time efficiency which cost millions annually. A start-up in Canada Water, London, looking to expand its highly interdisciplinary team of exceptionally talented mechanical engineers, software developers, data scientists and chemists. All positions at CheMastery come with an extraordinary level of freedom to showcase your skill. Description The position as a Mechanical Design Engineer is a permanent fulltime position. As a Mechanical Design Engineer you will have sole responsibility for one part of the project. You will have the freedom to see your project through its entire engineering life cycle from the planning stage, prototyping, testing all the way to final production. The wider team will include mechanical design engineers, software developers and chemists. Objectives You will be responsible for the design of a specific part of the system, including practical prototype building and assembly testing. You will coordinate with other engineers, software developers and chemists. Your job will include commissioning and deployment of your system. You will have the opportunity to observe your solution first-hand in customers’ sites. Essential • MEng/MSc or equivalent, • Experienced with industry standard CAD Software (OnShape, Solid Edge, Solidworks) and its respective modelling and analysis capabilities., • Love practically building and iterating what you design, applicants may demonstrate through interests and projects outside of work., • Proven track record designing and executing in one of: fluid mechanics & pressurised systems, corrosive environment, chemical instrumentation, thermal design., • Generation of technical documentation (e.g., design specifications, test specifications/procedures, assembly instructions), • Product data management (Version Control, BoMs, Family Trees, etc.), • Design for Manufacture / Test (DFM/DFT)., • Problem solving skills and good interdisciplinary communication., • Open to the environment of a start-up with all its challenges and rewards. Desirable • Proven track record designing and executing in multiple of: fluid mechanics & pressurised systems, corrosive environment, chemical instrumentation, thermal design., • Experience with stress analysis (shock, vibration, pressure fluctuation)., • Experience with structural analysis / simulations using classical methods and FEM., • Experience with integrating sensors., • Designed complex components made from glass., • Project management/history of sole responsibility., • Previous start-up experience. About you You should be an engineer with an experimental mindset and a passion to apply your work in commercial products. You should be excited to work in a multi-discipline team and open to learn from other disciplines. You must be entitled to work in the UK. The work is 4 days a week on-site at our premises in Canada Water, London. What we offer A friendly, transparent, creative, and fast-paced working environment. Working closely with the company’s founders and career progression opportunities as the company grows. Competitive salary, company equity and pension options. CheMastery is an equal opportunities employer. If you think you have what it takes to join a team set to revolutionise chemistry, we want to hear from you! The best way to reach us is through this application.

A world-leading systematic hedge fund are looking for an experienced HPC Engineer to lead their Compute Operations team. The fund manages around $40Bn in AUM and has been experiencing a period of rapid growth. In this role, you would lead the Compute Operations team, responsible for managing on-prem infrastructure and ensuring reliable, high-performance services for research and trading. The team works closely with Quant Researchers, Traders and Platform Engineering teams - underpinning the high-performance front office trading infrastructure. Tech Stack: Linux, HPC, Kubernetes The firm can offer market leading salary packages and an innovative, collaborative tech culture unique to the hedge fund space. If you are interested, do not hesitate to reach out!

Applied Research Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit teams. They are hiring a Founding Applied Research Engineer to join at early stage, with real ownership of the depth of knowledge and retrieval infrastructure. This role suits someone with a strong academic background from a leading university, alongside clear evidence of success in high ownership projects. Experience with knowledge graphs and information retrieval is essential: Responsibilities • Design knowledge graphs, • Build advanced information retrieval systems, • Create robust information extraction pipelines, • Translate research into production infrastructure On offer • The opportunity to build a deep tech AI model and conduct original, applied research, • Founding engineer responsibility with high visibility and influence, • Hybrid working model in London, • Salary up to £70k plus substantial equity, • Genuine ownership over what is built from day one If you meet the above criteria and want to help build foundational AI technology within a small, ambitious team, please get in touch.

Principle Machine Learning Engineer Contract Pay DOE Hybrid 2x a week on site Most sports data is reactive - stats after the moment’s gone. This role is about building systems that generate real-time insights during live sport. Why This Role? • Leading global streaming / sports platform, • Real ownership of ML systems at scale (millions of users), • Solving complex real-time + low latency AI problems The Company / Product You’ll be working on a cutting-edge platform transforming how fans experience live sport using AI to deliver personalised insights, predictions, and real-time data during live events. What You’ll Be Working On • Leading development of ML systems for live sports insights + personalisation, • Building solutions across Computer Vision, ML, and Generative AI, • Turning live video + sports data into real-time predictions and insights, • Designing low-latency, high-scale ML systems in production, • Driving end-to-end MLOps (CI/CD, monitoring, retraining, deployment), • Integrating ML outputs into personalisation engines, • Owning experimentation, A/B testing, and performance metrics, • Mentoring engineers and setting technical direction across teams Tech Stack • Python, • PyTorch / TensorFlow, • MLOps (CI/CD, model monitoring, retraining pipelines), • Real-time / streaming systems, • Cloud-based ML infrastructure What You’ll Bring • Strong experience building production ML systems at scale, • Experience working with real-time or streaming data, • Deep understanding of sports data (event, tracking, or video), • Hands-on experience taking models from research → production, • Strong technical leadership and mentoring experience Ideal Profiles • Principal / Staff ML Engineers in streaming, sports, or media, • ML Engineers from real-time / low-latency environments No need for a perfect CV if you’ve built ML systems that run in production, let’s talk. I can get you directly in front of the team quickly.

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

🚀 Senior Data Engineer (Cloud Data Platform / Lakehouse) We’re hiring a Senior Data Engineer to build and scale a global cloud-native Data Lakehouse platform powering quantitative research and trading analytics at massive scale. 💡 What you’ll do • Build & evolve a large-scale Data Lakehouse (AWS), • Develop Python-based data pipelines for high-volume financial data, • Design OLAP / distributed data models for analytics & trading use cases, • Optimise performance across multi-region data platforms, • Ensure data quality, reliability, and consistency at scale, • Partner with quants, researchers, and traders on critical data products 🧠 What we’re looking for • Strong Python + SQL (essential), • 5+ years in data engineering / platform engineering, • AWS experience in production data environments, • Hands-on with Spark / Kafka / Snowflake / Databricks (or similar), • Experience with data lakes / lakehouse / distributed systems, • Background in financial services, trading, or quantitative environments

The Company: Join a fast-growing, VC-backed startup on a mission to modernise workflows for the global consulting industry. Backed by leading founders and investors, this organisation is dedicated to building next-generation AI tools that empower consultants by automating manual, repetitive tasks and enabling more meaningful work. What you'll do: As a Founding Product Engineer, you’ll help shape the foundation of groundbreaking AI products for consulting professionals. You’ll take ownership of key systems, moving beyond basic chat-bot experiences to create powerful, enterprise-ready workflows and user interfaces. Your responsibilities will include: • Designing and delivering multi-step AI-driven workflows and user experiences., • Owning end-to-end product features across the full technology stack., • Turning complex consulting challenges into scalable product solutions., • Collaborating closely with both technical and non-technical stakeholders, including client advisors and industry veterans., • Driving the product vision and making impactful product decisions in a fast-paced, high-trust environment. Key Skills: • Experience as a Product or Full-Stack Engineer with the ability to quickly turn problem statements into working prototypes., • Background in the consulting industry, either as a consultant or by supporting consulting teams in a technical capacity., • Strong technical proficiency in NextJS, TypeScript, and LLM frameworks (e.g., Pydantic, LangGraph)., • Comfortable working with Python and familiar with modern cloud infrastructure (AWS, Terraform, PostgreSQL, Modal)., • Ability to create intuitive, polished user interfaces using React and Tailwind CSS., • Value fast iteration and a hands-on, collaborative approach., • Excellent problem-solving and communication skills. Benefits: • Above-market compensation and significant founding-level equity – truly own your impact and future., • Work alongside a talented peer group from top consulting firms and AI research backgrounds., • High trust environment with minimal bureaucracy—focus on building, not meetings., • Opportunity to shape the product direction and culture from day one., • Be part of a well-funded early-stage company with a strong industry network and expert backing. If you are interested please apply or reach out to Adam Treacy @ twentyAI -

About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, an electric vehicle salary sacrifice scheme, stock options, and 25 days of annual leave (increasing with service), alongside flexible and hybrid working. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. About the role We have a brand‑new opportunity for a Senior or Principal Electrical Engineer to join our Science & Research team based in our London office. This is a great opportunity to join our Science & Research group. You will collaborate with specialist engineers and consultants on technically complex laboratory, research and innovation environments — including academic and public‑sector research facilities, bespoke end‑user laboratories, speculative commercial science buildings and R&D campuses. You will be part of a collaborative, highly knowledgeable team that combines a supportive and flexible culture with strong performance and a genuine passion for its work. This position is based in London, with opportunities to engage with colleagues across the wider business, including our long‑standing Oxford and Cambridge offices. These teams collaborate effectively on projects across the “Golden Triangle”, ensuring consistent delivery and shared expertise. As a Senior or Principal Engineer in the Science & Research team you will lead and deliver electrical designs for a wide range of science and research projects of varying scales and complexities. You will work within multidisciplinary project teams to produce robust, safe, efficient and innovative solutions that meet client briefs, regulatory standards and the specific needs of laboratory and research environments. A key part of the role is developing and mentoring a technically excellent, collaborative team. • Be responsible for the day-to-day technical delivery of the electrical design services for multi-disciplinary projects across several building sectors., • Lead the development of initial strategic concepts for projects ensuring solutions are appropriate for the brief and regulatory standards., • Interact regularly with internal and external stakeholders, ensuring a communicative, collaborative and timely approach to delivery This is a client-facing role, so you will be attending project meetings and disseminating/translating the brief within the project team., • Work with the team leader to help monitor fee expenditure, resources and work delivered., • Mentor and support our ‘next-gen’ professionals, including apprentices and graduates. About you To be successful for this role you’ll need: • Proven experience working as an Electrical Engineer (or in a closely related role) with a strong track record delivering a variety of complex projects — ideally including science, research or laboratory facilities where safety‑critical and highly‑reliable electrical systems are required., • Demonstrable experience of modern technical delivery processes and digital design tools, including BIM workflows and Revit. Familiarity with electrical design and analysis software such as Dialux/Relux and package tools for electrical schedules and outage/maintenance planning is expected., • Hands‑on experience specifying, designing or commissioning specialist electrical systems commonly used in science and research buildings — for example UPS and resilient power systems, generator/emergency power solutions, ring/main distribution, low‑voltage switchgear, isolated power systems, power quality and harmonic mitigation, and integration with BMS., • Knowledge of laboratory‑specific services and controls (e.g., cleanroom power distribution, fume cupboard exhaust power considerations, hazardous area classification and codes of practice, bonded earthing practices for sensitive equipment) or a willingness to rapidly develop this specialist knowledge., • Demonstrable experience working directly with clients, contractors and architects in a design‑consultant capacity — presenting technical solutions, translating client briefs into deliverable design packages, and supporting procurement/construction phases., • Strong technical documentation skills: preparation of electrical design reports, specifications, single‑line diagrams, schedules and tender documentation., • Excellent stakeholder and communication skills, with the ability to lead client meetings, co‑ordinate multidisciplinary teams and mentor junior engineers and apprentices. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange an introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. We aim to provide feedback at each stage of the process. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, ___ Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list. #LI-HYBRID

• Full-time, Central London (Soho)., • Company ethos founded on the principle of good work, with good people, for good reasons., • Opportunity for fast paced growth and progression., • Opportunities to work on a range of exciting museum and gallery projects., • BCorp accredited company. Role description Steensen Varming are looking for a Project or Senior Mechanical Building Services Engineer to join our London based team. This role provides the best of both worlds through working in a global company within a local studio-based supportive, established team. We understand that people are at the core everything we do and key to our continued success. That means we prioritise the growth and progression of our team through providing bespoke training and personal progression plans. Working at Steensen Varming, you will have exposure to all parts of the project lifecycle from day one, be it reviewing survey information, undertaking design calculations, producing design documentation, collaborating with the wider project team, or undertaking site visits. We believe that this exposure to different parts of the project lifecycle alongside having the opportunity to complete different tasks across different projects helps to significantly aid the pace of progression. That means you can expect to be working on the design and implementation of different mechanical systems across a range of different projects, some at the early design stages and some already under construction. In addition to providing the opportunity to work on exciting and challenging projects, we’re keen to foster a fun and collaborative team environment across our global team and within the London studio, so we make sure to find time for socialising. That might mean playing pool, listening to records or holding an impromptu band practice in the office, or making the most of the what the local area has to offer be it playing table tennis in the park, trips to the local food market, or sampling some of the local night life at the end of the day. If you are keen to hit the ground running and to quickly develop a solid foundation across all elements of mechanical design through working as part of a close-knit team, this could be the role for you! Candidate Requirements Applications are invited from creative, proactive people, with experience in the following: • A Degree in Mechanical, Building Services Engineering, or a closely related subject., • An interest in Building Services Engineering and a passion to make a difference in the industry., • An interest in sustainability practices and desire to foster real client relationships. About Steensen Varming Originally founded in Denmark in 1933 and today operating in Europe, Asia, Australia and USA, Steensen Varming operates along the principles of an integrated design studio working within a specialist field to provide the best service to our clients. Steensen Varming works on a variety of exciting projects from the British Museum to Sydney Opera House to Scott Base Antarctic Research Station, encompassing architectural and urban design, the private, corporate and public sectors, from modest upgrades to World Heritage Sites With well-established ethical principles, we go beyond standard corporate responsibilities and through initiatives, such as UN Sustainable Development Goals and B Corp, we continue to be at the forefront of creating positive environments, in our work and studio environment. Equal Opportunity Employer • Steensen Varming is an equal opportunity employer. Steensen Varming is committed to being a successful, caring and welcoming place for all employees. We are committed to a culture where respect and understanding is fostered, and the diversity of people's backgrounds and circumstances are positively valued. Benefits • Salary dependant on experience., • Holiday entitlement of 25 days per annum, plus one extra half day leave per year of service (up to a maximum of 27.5 days). Steensen Varming provide a number of initiatives to support wellbeing; • Offering flexible working., • Offering 38 hour week, with core working hours between 9.30am-4pm., • Provision of a wellbeing allowance., • Employee Assistance Programme., • 50% claim back on professional memberships., • Salary sacrifice and purchased leave options., • Ability to work from overseas studio locations., • We are a supportive, people-focused organisation that values connection and collaboration., • Free and discounted entry to over 900 museums and galleries.

Also advertised as Product Engineer About the Company At Alecto, we're on a mission to fix one of the UK's most broken consumer experiences: conveyancing - the legal process behind every property transaction. Today it’s slow, opaque, and failing. One in three property transactions fall through, complaints run 3.3x higher than any other legal sector. Many firms still rely on post and fax. We're building the UK's first AI-native law firm to change that. Backed by Firstminute Capital and a strong group of angel investors, we’re led by a founder who built and scaled Gen H, a fintech mortgage lender, to £1bn in annual lending and £5bn in financing. That hands-on experience in regulated financial services gives us a clear path to disrupt a fragmented £2.5 billion market. Conveyancing is our starting point. Our ambition is a full-service, AI-first law firm with global reach. About the Role We're looking for a Staff or Senior Product Engineers to join as an early member of our engineering team. We're a small team of generalists with deep experience in startups and who care about craft. We move fast, ship often, and hold ourselves to a high bar. From day one, you’ll help shape the product’s direction and ship features to production within your first week. Requirements will be fuzzy - you’ll talk to users, form hypotheses, and iterate quickly to define what to build. Responsibilities • Have worked at early-stage startups and driven product direction, • Think in terms of user problems, not just technical solutions, • Have scaled TypeScript projects, • Enjoy refining and customising your AI workflow into the early hours, • Building AI agents or LLM-powered systems that go beyond simple prompting, • Thrive in autonomy and owning your own work & projects, • Are genuinely excited by building products from the ground up Qualifications Bonus points for academic or applied experience in machine learning, especially if you can bridge the gap between research and production. Required Skills • Relentless about self-improvement and hold yourself to incredibly high standards, • See problems as solvable and find opportunity in challenges, • Energise the people around you in the process, • Own outcomes, fixing problems rather than waiting for someone else to, • Want to be measured on your impact, • Low ego and self-critical, open to feedback, • Give honest feedback directly and kindly Preferred Skills • A TypeScript monorepo, React, tRPC and Tailwind, • Inngest for background jobs and event-driven workflows, • Deployed on Google Cloud Platform with Postgres Pay range and compensation package • £100,000 - £150,000 depending on experience, • Meaningful early-stage equity - you'll be an owner, not just an employee, • 5% employer pension contributions, • Comprehensive private medical cover including dental and optical, • 25 days holiday plus bank holidays, • Your choice in AI tooling Equal Opportunity Statement Please let us know if there are any reasonable adjustments we can make to ensure you have the best experience interviewing with us! Hiring Process • Introductory Call (25 minutes), • Technical Test (2-3 hours), • Values Interview (1 hour)

Location: London - Hybrid (2 days per week (London Bridge Area)) Salary: £90000 - £100,000 Reporting into: Platform Lead WeDo have partnered with a data-driven market research company very much in growth mode (circa 50% YoY Growth). Having successfully onboarded several new hires over the past 6 months, one being a Lead Platform Engineer, there is now a need for a Senior Engineer to assist with ongoing Platform Architecture/Development. Day-to-day responsibilities will include: • Lead, design and implement Azure based solutions, • Provide direction around/and implement necessary tooling, • Advocate DevSecOps principles, • Architect cloud-native systems - microservices-led/serverless etc. What we’re looking for: • Significant Azure experience, • IaC - Currently ARM/Bicep but open to Terraform, • CI/CD Pipeline design - Azure Devops, • DevSecOps experience, • C#/.Net, • Stakeholder Management experience and the ability to operate as an IC., • AI-Led Coding/Development Three stage interview process. 1st stage is a discovery call, 2nd is a Solution Design whiteboard exercise and 3rd stage, a meet and greet call with wider team. If the above is you... apply now and I will follow up accordingly.

Senior Research Engineer – Deep Learning & Time Series About the Role My client are a forward-thinking financial organisation looking for a Senior Research Engineer to own the machine learning strategy end to end. This is a rare opportunity to shape the AI direction from the ground up, from research through to production with direct visibility at the leadership level. What You'll Do • Define and lead the deep learning research agenda, with a focus on time series modelling in financial markets, • Take models from research hypothesis all the way to production-grade, monitored systems, • Evaluate and apply cutting-edge academic research to real-world financial problems, • Work closely with quant researchers, engineers, and senior stakeholders to embed ML into core decision-making, • Help build and mentor a growing research team Requirements • Published research in peer-reviewed venues such as IEEE, ICML, NeurIPS, ICLR, or equivalent, • Deep expertise in time series modelling - financial data experience strongly preferred, • Proven end-to-end ML experience: data pipelines, model development, deployment, and monitoring, • Strong Python and ML engineering skills (PyTorch or JAX), • PhD in ML, Statistics, Computer Science, or related field (or equivalent research output), • Ability to communicate complex ideas clearly to both technical and non-technical audiences Nice to Have • Experience in asset management, hedge funds, or quantitative trading, • Contributions to open-source ML projects, • Prior tech lead or mentorship experience What's on Offer • Full ownership of ML strategy from day one, • Dedicated time and support for continued research and publishing, • Competitive base, performance bonus, and equity, • Hybrid working, flexible culture, and access to institutional-grade data and compute

We're working with a fast moving tech business looking for a Senior ML Engineer to own personalisation end to end. This isn't a research role. You'll be shipping models to production, building the pipelines that feed them, and running the experiments that improve them — all in service of recommendation engines and ranking algorithms that directly impact user experience. 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂'𝗹𝗹 𝗯𝗲 𝗱𝗼𝗶𝗻𝗴: → Design, train and optimise ML models for personalisation and recommendations → Build and maintain scalable data pipelines for feature engineering and model training → Deploy and monitor models in production — performance, availability, relevance → Lead A/B testing and offline experiments to drive continuous improvement → Evaluate emerging research in deep learning and GenAI for real-world integration 𝗪𝗵𝗮𝘁 𝘄𝗲'𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿: ✦ Full ML lifecycle experience — from development through to monitoring in prod ✦ Python + TensorFlow or PyTorch ✦ Kubeflow, TFX or similar training frameworks ✦ Model serving experience — Triton, TorchServe, TF Serving ✦ Real-time streaming and high-volume data processing ✦ Strong grasp of recommendation systems and personalisation algorithms ✦ Familiarity with Generative AI in production settings If this sounds like your kind of challenge, drop me a message or hit apply. Happy to share more details. #MachineLearning #MLEngineer #Personalisation #RecommendationSystems #MLOps #NowHiring

We're partnering with a fast-scaling fintech that's building the intelligence layer for debt markets. Think financial analysis, credit data, legal and ESG insights, all delivered at speed to some of the biggest names in banking, asset management and law. They need a Senior Software Engineer to join a cross-functional product team and help shape the backbone of their platform. What you'll be doing Backend-heavy engineering across a Python/FastAPI stack, working on everything from data pipelines and API design to ML/AI service integration. You'll be a proper senior IC, running code reviews, mentoring engineers, and getting involved early in research and experimentation, not just building to spec. The stack • Python (FastAPI, Flask, strong typing, Pydantic), • PostgreSQL, • AWS (Lambda serverless + ECS/Docker), • Internal dev platform with standardised CI/CD pipelines, • Feature flags and automated preview environments What you'll need • Strong Python and web framework experience (FastAPI preferred), • Solid API design and service-oriented architecture background, • Hands-on with data flow design, from persistent storage to API endpoints, • Good SQL knowledge, • Experience writing testable, maintainable code and conducting code reviews, • Ability to communicate technical decisions clearly to non-technical stakeholders What's in it for you • Top-of-market salary, equity, • 7% pension match, private medical, • 25 days holiday, hybrid working, and the ability to work abroad up to 3 months a year., • High ownership, real influence, and a codebase worth caring about. 2 days onsite (Central London) Salary - Up to £120 + equity If this sounds like you, please apply for more details.

Principal Scientific Software Engineer – Quantum Error Correction Location: Major US Tech Hub (Relocation Supported) Ready to help build the future of computing? Curious about shaping technology that could redefine science itself? Looking for a role where your work doesn’t just scale systems—but changes what’s possible? Our client is at the forefront of next-generation computing, working on breakthroughs that could transform industries from pharmaceuticals to climate modelling. They are now seeking a Principal Scientific Software Engineer to lead the evolution of a cutting-edge quantum error correction (QEC) software stack—a critical step toward making quantum computing truly scalable and practical. This is more than a role. It’s an opportunity to be part of something genuinely game-changing, collaborating with world-class researchers and engineers to turn theoretical advances into real-world impact. 🌍 Why This Role is Great In this position, you’ll take ownership of a highly sophisticated software ecosystem and help shape the future of quantum computing: • Architect the future of QEC software: Design and guide the development of an end-to-end error correction stack—from high-level logical circuits to low-level execution layers., • Push the boundaries of compiler innovation: Work on advanced compiler infrastructure, leveraging SSA-based architectures and multi-stage programming models to optimise quantum circuits., • Lead and inspire technical teams: Mentor talented engineers and collaborate across disciplines, fostering a culture of innovation and technical excellence., • Bridge theory and real-world systems: Partner with researchers and hardware specialists to translate cutting-edge ideas into production-ready software., • Drive meaningful scientific progress: Contribute to research initiatives, publications, and breakthrough demonstrations in quantum technology., • Own complex, high-impact challenges: From decoding algorithms to fault-tolerant circuit transformations, you’ll tackle problems that sit at the frontier of computing. 🧠 About You This role is ideal for someone who thrives on solving deep technical challenges and shaping emerging technologies. You might bring: • A strong foundation in quantum computing, error correction, or compiler systems, • Experience working with advanced programming languages (such as C++, Rust, Julia, Haskell, OCaml, or similar), • Familiarity with compiler infrastructure, intermediate representations, or optimisation strategies, • A track record of leading technical projects or mentoring engineers, • Exposure to complex software systems across the full development lifecycle, • Interest in working at the intersection of science, software, and innovation Even if you don’t meet every requirement, transferable experience and a passion for learning in this space are highly valued. 🚀 What You’ll Gain • The chance to work on world-changing technology at the cutting edge of science, • Collaboration with leading experts in quantum computing and engineering, • Opportunities to contribute to research, publications, and real-world breakthroughs, • A supportive environment that encourages innovation, ownership, and growth, • Competitive compensation, including equity and relocation support 💼 Package • Base salary range: $120,000 – $200,000 USD, • Additional benefits include equity and a comprehensive package aligned with experience and location 🌈 Diversity & Inclusion Our client and we are committed to building inclusive teams that reflect a wide range of perspectives and experiences. Applications are welcomed from all backgrounds, and hiring decisions are made based on merit, potential, and passion for the role. 📩 Ready to Make an Impact? If you’re excited by the idea of shaping the future of computing and contributing to something truly transformative, we’d love to hear from you. Apply now and take your place at the forefront of technological innovation.

About Canbury Canbury is a technology-enabled sustainability firm applying AI tools to deliver research, data, and analysis thoroughly, effectively and cost-efficiently. We work with leading institutional investors, companies and NGOs on specialised sustainability topics, including climate change, nature, social inequality, systems change, and policy change. We combine deep sustainability and financial expertise with our in-house technology team to develop bespoke software solutions for clients across the sustainability space. We are at the forefront of deploying AI into sustainability data, using technology where it is best applied to reduce manual time and cost on large-scale text and data analysis. You can find more on our service lines and examples of our work at canbury.io. About the role We are expanding our technology team to meet growing client demand. As a Full-Stack Engineer, you will work across our internal platform, which powers Canbury’s research and analytics, and bespoke software for clients across the sustainability space. Our stack is Python (FastAPI), React/TypeScript, PostgreSQL, and Azure (Container Apps, Blob Storage, Postgres Flexible Server, and related services). You will work across all of it. We are particularly keen to hear from engineers with strong infrastructure and DevOps instincts who want to push us to run things properly in production. Why this role is interesting • Real autonomy. We are a small team. You will scope, build, deploy, and own systems end-to-end., • AI in production. We run LLM pipelines processing thousands of company disclosures for institutional investors. Cost, latency, and reliability are real constraints., • Technical breadth. Infrastructure, full-stack product work, and AI/data engineering all sit within the role., • Work that matters. Our clients steward trillions in assets. The tools you build shape how they assess companies on sustainability. What you'll do • Build and own infrastructure on Azure. Design and maintain CI/CD pipelines, container deployments, networking, secrets management, monitoring, and cost controls., • Develop full-stack features end-to-end. From Postgres schema design through FastAPI endpoints to React interfaces, for client deliverables., • Build Python-based data and AI pipelines. Develop analytics and ETL pipelines, automate data collection and cleansing, and extract insights via LLM APIs (Anthropic, OpenAI, Gemini). Optimise for cost and quality through caching, batching, token management, and prompt and post-processing design., • Contribute to technical decision-making as the team grows: architecture, tooling, code quality, and engineering practices. As a small team, everyone wears multiple hats and the role will evolve with the business and with technological developments. What we're looking for • At least 2 years of professional software engineering experience, preferably in roles where you have shipped and operated production systems, not just built prototypes., • Strong infrastructure and DevOps skills: hands-on experience with Azure (or comparable cloud, AWS or GCP), containerisation (Docker), CI/CD, and infrastructure-as-code., • Solid full-stack experience with Python backends (FastAPI or similar), React/TypeScript frontends, and relational databases (PostgreSQL preferred)., • A track record of building and shipping. Personal projects, open-source contributions, or production systems you can talk about in detail., • Comfort working with LLM APIs and an understanding of the practical considerations around cost, latency, and reliability when AI is in the loop., • Pragmatism and ownership. We need people who can scope, build, deploy, and maintain, not just write code and hand it off. Practicalities • Location: London. Hybrid. We have an office in Farringdon., • Type: Full-time, permanent., • Salary: £40k-60k+ depending on experience., • Right to work: You must have the right to work in the UK. We are unable to sponsor visas at this stage.